<?xml version="1.0" encoding="UTF-8"?>
 <rdf:RDF xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:cc="http://web.resource.org/cc/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/">
  <channel rdf:about="http://pinboard.in">
    <title>Pinboard (rrc)</title>
    <link>https://pinboard.in/u:rrc/public/</link>
    <description>recent bookmarks from rrc</description>
    <items>
      <rdf:Seq>	<rdf:li rdf:resource="https://jakevdp.github.io/PythonDataScienceHandbook/"/>
	<rdf:li rdf:resource="https://weuseelixir.com/listings/orcasound"/>
	<rdf:li rdf:resource="https://www.youtube.com/watch?v=p6ZqtuiT52I"/>
	<rdf:li rdf:resource="https://www.reddit.com/r/selfhosted/comments/198vw7k/can_you_use_the_google_coral_usb_tpu_in_2024/"/>
	<rdf:li rdf:resource="https://gweb-coral-full.uc.r.appspot.com/docs/accelerator/get-started"/>
	<rdf:li rdf:resource="https://github.com/bsenftner/UnderstandingFacialRecognition/blob/main/Using%20Celebrity%20Look%20Alikes%20to%20Understand%20Facial%20Recognition.ipynb"/>
	<rdf:li rdf:resource="https://www.amazon.com/Google-Coral-Accelerator-coprocessor-Raspberry/dp/B07R53D12W"/>
	<rdf:li rdf:resource="https://toao.com/blog/can-we-really-see-brambles-from-space"/>
	<rdf:li rdf:resource="https://medium.com/@yairoz/preparing-financial-time-series-for-ml-in-elixir-part-2-information-driven-bars-with-explorer-c59ccb996a68"/>
	<rdf:li rdf:resource="https://www.youtube.com/watch?v=pas9WdWIBHs"/>
	<rdf:li rdf:resource="https://hexdocs.pm/scholar/manifold_learning.html"/>
	<rdf:li rdf:resource="https://cigrainger.com/elixirconf-eu-2024-keynote/"/>
	<rdf:li rdf:resource="https://news.ycombinator.com/item?id=39906536"/>
	<rdf:li rdf:resource="https://news.ycombinator.com/item?id=39670121"/>
	<rdf:li rdf:resource="https://dockyard.com/blog/2023/09/19/end-to-end-machine-learning-in-elixir"/>
	<rdf:li rdf:resource="https://www.kaggle.com/c/costa-rican-household-poverty-prediction/overview"/>
	<rdf:li rdf:resource="https://towardsdatascience.com/costa-rican-household-poverty-level-prediction-in-r-46b31c3d1801"/>
	<rdf:li rdf:resource="https://datatau.net/"/>
	<rdf:li rdf:resource="https://alembic.com.au/blog/elixir-vs-python-for-real-world-ai-ml-part-1"/>
	<rdf:li rdf:resource="https://dockyard.com/blog/2023/07/18/introducing-exgboost-gradient-boosting-in-elixir"/>
	<rdf:li rdf:resource="https://books.google.com/books/about/Handbook_of_Neuroevolution_Through_Erlan.html?id=MgNmy8PIeyQC&amp;source=kp_book_description"/>
	<rdf:li rdf:resource="https://news.ycombinator.com/item?id=36255546"/>
	<rdf:li rdf:resource="https://dockyard.com/blog/2022/12/15/unlocking-the-power-of-transformers-with-bumblebee"/>
	<rdf:li rdf:resource="https://news.ycombinator.com/item?id=33913161"/>
	<rdf:li rdf:resource="https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/"/>
	<rdf:li rdf:resource="https://ploomber.io/blog/experiment-tracking/"/>
	<rdf:li rdf:resource="https://twitter.com/i/topics/898661583827615744"/>
	<rdf:li rdf:resource="https://twitter.com/rasbt/status/1585372197522010112"/>
	<rdf:li rdf:resource="https://thecleverprogrammer.com/2022/06/14/instagram-recommendation-system-with-machine-learning/"/>
	<rdf:li rdf:resource="https://medium.com/@data.science.enthusiast/auc-roc-curve-ae9180eaf4f7"/>
	<rdf:li rdf:resource="https://www.kaggle.com/c/home-data-for-ml-course/data"/>
	<rdf:li rdf:resource="https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html"/>
	<rdf:li rdf:resource="https://medium.com/@data.science.enthusiast/feature-selection-techniques-forward-backward-wrapper-selection-9587f3c70cfa"/>
	<rdf:li rdf:resource="https://towardsdatascience.com/how-to-use-sklearn-pipelines-for-ridiculously-neat-code-a61ab66ca90d"/>
	<rdf:li rdf:resource="https://medium.com/@cerebriumai/setting-up-your-data-science-and-ml-development-environment-949277339939"/>
	<rdf:li rdf:resource="https://arstechnica.com/information-technology/2022/08/no-code-wrapped-our-ml-experiment-concludes-but-did-the-machine-win/"/>
	<rdf:li rdf:resource="https://postgresml.org/"/>
	<rdf:li rdf:resource="https://forums.fast.ai/t/ann-announcing-fastai-jl-fastai-for-julia/90228"/>
	<rdf:li rdf:resource="https://fingerspelling.xyz/"/>
	<rdf:li rdf:resource="https://dzone.com/articles/predicting-house-prices-using-google-automl-tables"/>
	<rdf:li rdf:resource="https://dzone.com/articles/use-of-mathematical-modeling-to-increase-the-data"/>
	<rdf:li rdf:resource="https://alan-turing-institute.github.io/MLJ.jl/dev/#Key-features"/>
	<rdf:li rdf:resource="https://github.com/nidhaloff/igel"/>
	<rdf:li rdf:resource="https://www.youtube.com/watch?v=QwVO0Xh2Hbg"/>
	<rdf:li rdf:resource="https://www.adafruit.com/product/4374"/>
	<rdf:li rdf:resource="https://slack.engineering/blocking-slack-invite-spam-with-machine-learning/"/>
	<rdf:li rdf:resource="https://www.npmjs.com/package/@tensorflow-models/knn-classifier"/>
	<rdf:li rdf:resource="https://medium.com/javascript-in-plain-english/top-12-javascript-machine-learning-libraries-for-2020-8bec30ecfa58"/>
	<rdf:li rdf:resource="https://blog.bitsrc.io/11-javascript-machine-learning-libraries-to-use-in-your-app-c49772cca46c"/>
	<rdf:li rdf:resource="https://towardsdatascience.com/top-javascript-machine-learning-libraries-in-2019-cb63b95bdd10"/>
	<rdf:li rdf:resource="https://www.snorkel.org/"/>
	<rdf:li rdf:resource="https://www.oreilly.com/radar/the-unreasonable-importance-of-data-preparation/"/>
	<rdf:li rdf:resource="https://madewithml.com/"/>
	<rdf:li rdf:resource="https://news.mit.edu/2019/using-machine-learning-hunt-down-cybercriminals-1009"/>
	<rdf:li rdf:resource="https://medium.com/@pydatamiami/deep-learning-versus-conventional-machine-learning-which-is-better-12684ea48cfb"/>
	<rdf:li rdf:resource="https://dzone.com/articles/homemade-machine-learning-in-python?fromrel=true"/>
	<rdf:li rdf:resource="https://dzone.com/articles/10-interesting-use-cases-for-the-k-means-algorithm"/>
	<rdf:li rdf:resource="https://medium.com/hackernoon/doing-machine-learning-efficiently-8ba9d9bc679d"/>
	<rdf:li rdf:resource="https://towardsdatascience.com/ml-impossible-train-a-1-billion-sample-model-in-20-minutes-with-vaex-and-scikit-learn-on-your-9e2968e6f385"/>
	<rdf:li rdf:resource="https://www.solfej.io/blog/how-to-find-new-music/"/>
	<rdf:li rdf:resource="https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78#hn"/>
	<rdf:li rdf:resource="https://dzone.com/articles/using-a-deep-neural-network-for-automated-call-sco-1?fromrel=true"/>
	<rdf:li rdf:resource="https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/"/>
	<rdf:li rdf:resource="https://dzone.com/articles/machine-learning-in-software-development-technique"/>
	<rdf:li rdf:resource="https://medium.com/future-vision/beginners-guide-to-linear-regression-in-python-with-cuml-30e2709c761"/>
	<rdf:li rdf:resource="https://www.economist.com/science-and-technology/2019/09/07/artificial-intelligence-is-changing-every-aspect-of-war"/>
	<rdf:li rdf:resource="https://www.datacamp.com/projects/558"/>
	<rdf:li rdf:resource="https://dzone.com/articles/logistic-regression-vs-decision-tree?edition=517296"/>
	<rdf:li rdf:resource="https://en.m.wikipedia.org/wiki/Precision_and_recall"/>
	<rdf:li rdf:resource="https://www.linkedin.com/pulse/how-i-am-earning-500-followers-weekly-instagram-using-fernandes/"/>
      </rdf:Seq>
    </items>
  </channel><item rdf:about="https://jakevdp.github.io/PythonDataScienceHandbook/">
    <title>Python Data Science Handbook | Python Data Science Handbook</title>
    <dc:date>2025-12-03T22:13:14+00:00</dc:date>
    <link>https://jakevdp.github.io/PythonDataScienceHandbook/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=46120611]]></description>
<dc:subject>datascience python machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:3f1b477d0683/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://weuseelixir.com/listings/orcasound">
    <title>Orcasound | WeUseElixir</title>
    <dc:date>2025-11-27T22:28:03+00:00</dc:date>
    <link>https://weuseelixir.com/listings/orcasound</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:91f36735b5ff/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=p6ZqtuiT52I">
    <title>Add AI to Your Projects with This Tiny USB Device - YouTube</title>
    <dc:date>2025-11-07T01:53:03+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=p6ZqtuiT52I</link>
    <dc:creator>rrc</dc:creator><dc:subject>ai machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:68775e43ec42/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.reddit.com/r/selfhosted/comments/198vw7k/can_you_use_the_google_coral_usb_tpu_in_2024/">
    <title>Can you use the Google Coral USB TPU in 2024? : r/selfhosted</title>
    <dc:date>2025-11-07T01:49:30+00:00</dc:date>
    <link>https://www.reddit.com/r/selfhosted/comments/198vw7k/can_you_use_the_google_coral_usb_tpu_in_2024/</link>
    <dc:creator>rrc</dc:creator><dc:subject>ai machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:b676b9d3cffa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://gweb-coral-full.uc.r.appspot.com/docs/accelerator/get-started">
    <title>Get started with the USB Accelerator | Coral</title>
    <dc:date>2025-11-07T01:42:23+00:00</dc:date>
    <link>https://gweb-coral-full.uc.r.appspot.com/docs/accelerator/get-started</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Coral AI]]></description>
<dc:subject>ai machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:81bb179fbc7a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/bsenftner/UnderstandingFacialRecognition/blob/main/Using%20Celebrity%20Look%20Alikes%20to%20Understand%20Facial%20Recognition.ipynb">
    <title>UnderstandingFacialRecognition/Using Celebrity Look Alikes to Understand Facial Recognition.ipynb at main · bsenftner/UnderstandingFacialRecognition</title>
    <dc:date>2025-11-05T20:59:47+00:00</dc:date>
    <link>https://github.com/bsenftner/UnderstandingFacialRecognition/blob/main/Using%20Celebrity%20Look%20Alikes%20to%20Understand%20Facial%20Recognition.ipynb</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning deeplearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:b35527abdf56/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.amazon.com/Google-Coral-Accelerator-coprocessor-Raspberry/dp/B07R53D12W">
    <title>Amazon.com: Google Coral USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers : Electronics</title>
    <dc:date>2025-10-25T02:03:16+00:00</dc:date>
    <link>https://www.amazon.com/Google-Coral-Accelerator-coprocessor-Raspberry/dp/B07R53D12W</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning tpu</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:ac86ec5d1926/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tpu"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://toao.com/blog/can-we-really-see-brambles-from-space">
    <title>Can a model trained on satellite data really find brambles on the ground? - Sadiq Jaffer</title>
    <dc:date>2025-10-12T03:45:44+00:00</dc:date>
    <link>https://toao.com/blog/can-we-really-see-brambles-from-space</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=45377748
More shallow techniques, logistic regression and a knn classifier.]]></description>
<dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:688a1acd280f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@yairoz/preparing-financial-time-series-for-ml-in-elixir-part-2-information-driven-bars-with-explorer-c59ccb996a68">
    <title>Preparing Financial Time Series for ML in Elixir, Part 2: Information-Driven Bars — With Explorer &amp; More NIFs! | by Yair Oz | Nov, 2024 | Medium</title>
    <dc:date>2024-11-13T03:43:57+00:00</dc:date>
    <link>https://medium.com/@yairoz/preparing-financial-time-series-for-ml-in-elixir-part-2-information-driven-bars-with-explorer-c59ccb996a68</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning elixir</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:799a76f57023/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=pas9WdWIBHs">
    <title>Livebook &amp; Elixir: Where AI, Web &amp; Concurrency Meet • José Valim • YOW! 2023 - YouTube</title>
    <dc:date>2024-07-29T15:42:00+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=pas9WdWIBHs</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir valim machinelearning livebook</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:304f84c3d3b9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:valim"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:livebook"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://hexdocs.pm/scholar/manifold_learning.html">
    <title>Manifold learning — Scholar v0.3.1</title>
    <dc:date>2024-07-08T23:46:02+00:00</dc:date>
    <link>https://hexdocs.pm/scholar/manifold_learning.html</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir scholar machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:415439a33caa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:scholar"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://cigrainger.com/elixirconf-eu-2024-keynote/">
    <title>What I mean when I say that machine learning in Elixir is production-ready | Christopher Grainger</title>
    <dc:date>2024-05-09T14:32:08+00:00</dc:date>
    <link>https://cigrainger.com/elixirconf-eu-2024-keynote/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=40307108]]></description>
<dc:subject>elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:e4741ae1a174/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://news.ycombinator.com/item?id=39906536">
    <title>Ask HN: Is a masters in ML worth it? | Hacker News</title>
    <dc:date>2024-04-05T13:07:24+00:00</dc:date>
    <link>https://news.ycombinator.com/item?id=39906536</link>
    <dc:creator>rrc</dc:creator><dc:subject>gatech career machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:4a6342a0f5ca/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:gatech"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:career"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://news.ycombinator.com/item?id=39670121">
    <title>Who uses Google TPUs for inference in production? | Hacker News</title>
    <dc:date>2024-03-12T01:42:09+00:00</dc:date>
    <link>https://news.ycombinator.com/item?id=39670121</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning tpu</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5ac213dad808/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tpu"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dockyard.com/blog/2023/09/19/end-to-end-machine-learning-in-elixir">
    <title>End-to-End Machine Learning in Elixir</title>
    <dc:date>2024-02-01T14:47:34+00:00</dc:date>
    <link>https://dockyard.com/blog/2023/09/19/end-to-end-machine-learning-in-elixir</link>
    <dc:creator>rrc</dc:creator><dc:subject>nx elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5aab2e4bdbc5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:nx"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.kaggle.com/c/costa-rican-household-poverty-prediction/overview">
    <title>Costa Rican Household Poverty Level Prediction | Kaggle</title>
    <dc:date>2024-01-21T03:05:30+00:00</dc:date>
    <link>https://www.kaggle.com/c/costa-rican-household-poverty-prediction/overview</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Possibly my costa rica source]]></description>
<dc:subject>machinelearning eda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:7490b448bb6c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:eda"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/costa-rican-household-poverty-level-prediction-in-r-46b31c3d1801">
    <title>Costa Rican Household Poverty Level Prediction in R | by Chaithanya Pramodh Kasula | Towards Data Science</title>
    <dc:date>2024-01-21T03:04:21+00:00</dc:date>
    <link>https://towardsdatascience.com/costa-rican-household-poverty-level-prediction-in-r-46b31c3d1801</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Is this my "costa rica EDA" article?]]></description>
<dc:subject>machinelearning eda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:e6d14b076157/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:eda"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://datatau.net/">
    <title>DataTau - Hacker News Clone - Data Science Newsboard</title>
    <dc:date>2023-10-15T21:50:23+00:00</dc:date>
    <link>https://datatau.net/</link>
    <dc:creator>rrc</dc:creator><dc:subject>blogs machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5623630d956e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:blogs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://alembic.com.au/blog/elixir-vs-python-for-real-world-ai-ml-part-1">
    <title>Elixir vs Python for real world AI/ML (Part 1) — Alembic</title>
    <dc:date>2023-10-01T03:50:35+00:00</dc:date>
    <link>https://alembic.com.au/blog/elixir-vs-python-for-real-world-ai-ml-part-1</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:1e27babc22c8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dockyard.com/blog/2023/07/18/introducing-exgboost-gradient-boosting-in-elixir">
    <title>Introducing EXGBoost: Gradient Boosting in Elixir</title>
    <dc:date>2023-07-28T00:53:01+00:00</dc:date>
    <link>https://dockyard.com/blog/2023/07/18/introducing-exgboost-gradient-boosting-in-elixir</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:4f95de71759a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://books.google.com/books/about/Handbook_of_Neuroevolution_Through_Erlan.html?id=MgNmy8PIeyQC&amp;source=kp_book_description">
    <title>Handbook of Neuroevolution Through Erlang - Gene I. Sher - Google Books</title>
    <dc:date>2023-06-13T13:10:53+00:00</dc:date>
    <link>https://books.google.com/books/about/Handbook_of_Neuroevolution_Through_Erlan.html?id=MgNmy8PIeyQC&amp;source=kp_book_description</link>
    <dc:creator>rrc</dc:creator><dc:subject>erlang neuralnetwork machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:793473305884/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:erlang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:neuralnetwork"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://news.ycombinator.com/item?id=36255546">
    <title>Why Do ML on the Erlang VM? | Hacker News</title>
    <dc:date>2023-06-12T01:54:13+00:00</dc:date>
    <link>https://news.ycombinator.com/item?id=36255546</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Jose points to videos to watch]]></description>
<dc:subject>elixir machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:200573061c8a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dockyard.com/blog/2022/12/15/unlocking-the-power-of-transformers-with-bumblebee">
    <title>Unlocking the power of Transformers with Bumblebee - DockYard</title>
    <dc:date>2023-04-06T16:56:05+00:00</dc:date>
    <link>https://dockyard.com/blog/2022/12/15/unlocking-the-power-of-transformers-with-bumblebee</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Also shows how to install libraries in a livebook.]]></description>
<dc:subject>elixir machinelearning livebook deeplearning bumblebee</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:1793cc1c7d8b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:livebook"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:bumblebee"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://news.ycombinator.com/item?id=33913161">
    <title>Bumblebee: GPT2, Stable Diffusion, and More in Elixir | Hacker News</title>
    <dc:date>2023-02-19T22:12:02+00:00</dc:date>
    <link>https://news.ycombinator.com/item?id=33913161</link>
    <dc:creator>rrc</dc:creator><dc:subject>elixir machinelearning ai deeplearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:70a8bc86c5ab/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:elixir"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/">
    <title>How I learn machine learning | ★❤✰ Vicki Boykis ★❤✰</title>
    <dc:date>2022-11-17T13:56:39+00:00</dc:date>
    <link>https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://boringml.com/
https://vickiboykis.com/2021/10/10/doing-small-fun-projects/
https://vickiboykis.com/2020/06/09/getting-machine-learning-to-production/]]></description>
<dc:subject>datascience machinelearning motivation</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:f47d14f3e36f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:motivation"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://ploomber.io/blog/experiment-tracking/">
    <title>Who needs MLflow when you have SQLite?</title>
    <dc:date>2022-11-17T04:33:18+00:00</dc:date>
    <link>https://ploomber.io/blog/experiment-tracking/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=33624018]]></description>
<dc:subject>python sqlite machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:280a020a347a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:sqlite"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://twitter.com/i/topics/898661583827615744">
    <title>(2) Machine learning | Twitter Topics / Twitter</title>
    <dc:date>2022-10-30T03:02:46+00:00</dc:date>
    <link>https://twitter.com/i/topics/898661583827615744</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Twitter topic]]></description>
<dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:3350edb63932/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://twitter.com/rasbt/status/1585372197522010112">
    <title>(1) Sebastian Raschka on Twitter: &quot;My top-10 study list if I was learning machine learning again: 1. Python 2. Intro Data Science 3. Intro Machine Learning 4. Version Control 5. Intro Algos &amp;amp; Data Structures 6. Intro Linear Algebra 7. Intro Calculus 8</title>
    <dc:date>2022-10-28T02:02:07+00:00</dc:date>
    <link>https://twitter.com/rasbt/status/1585372197522010112</link>
    <dc:creator>rrc</dc:creator><dc:subject>datascience machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:3ada86491891/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://thecleverprogrammer.com/2022/06/14/instagram-recommendation-system-with-machine-learning/">
    <title>Instagram Recommendation System with Machine Learning</title>
    <dc:date>2022-10-28T01:53:09+00:00</dc:date>
    <link>https://thecleverprogrammer.com/2022/06/14/instagram-recommendation-system-with-machine-learning/</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning python</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:c78a6c18afce/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@data.science.enthusiast/auc-roc-curve-ae9180eaf4f7">
    <title>Understanding AUC — ROC and Precision-Recall Curves | by Maria Gusarova | Sep, 2022 | Medium</title>
    <dc:date>2022-10-24T02:06:01+00:00</dc:date>
    <link>https://medium.com/@data.science.enthusiast/auc-roc-curve-ae9180eaf4f7</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning datascience</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5212f89262c4/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.kaggle.com/c/home-data-for-ml-course/data">
    <title>Housing Prices Competition for Kaggle Learn Users | Kaggle</title>
    <dc:date>2022-10-23T02:07:09+00:00</dc:date>
    <link>https://www.kaggle.com/c/home-data-for-ml-course/data</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning datasets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:b3c8bccad9c5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datasets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html">
    <title>Choosing the right estimator — scikit-learn 1.1.2 documentation</title>
    <dc:date>2022-10-21T02:40:11+00:00</dc:date>
    <link>https://scikit-learn.org/stable/tutorial/machine_learning_map/index.html</link>
    <dc:creator>rrc</dc:creator><dc:subject>sklearn machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:babdee6f2378/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:sklearn"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@data.science.enthusiast/feature-selection-techniques-forward-backward-wrapper-selection-9587f3c70cfa">
    <title>Feature Selection Techniques. In this article, we will review feature… | by Maria Gusarova | Aug, 2022 | Medium</title>
    <dc:date>2022-10-20T03:34:24+00:00</dc:date>
    <link>https://medium.com/@data.science.enthusiast/feature-selection-techniques-forward-backward-wrapper-selection-9587f3c70cfa</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Finteck dataset about loan defaults]]></description>
<dc:subject>python machinelearning datasets</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:c2be1a082319/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datasets"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/how-to-use-sklearn-pipelines-for-ridiculously-neat-code-a61ab66ca90d">
    <title>How to Use Sklearn Pipelines For Ridiculously Neat Code | by BEXBoost | Towards Data Science</title>
    <dc:date>2022-10-17T01:34:05+00:00</dc:date>
    <link>https://towardsdatascience.com/how-to-use-sklearn-pipelines-for-ridiculously-neat-code-a61ab66ca90d</link>
    <dc:creator>rrc</dc:creator><dc:subject>sklearn machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:fe84a7de64b9/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:sklearn"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@cerebriumai/setting-up-your-data-science-and-ml-development-environment-949277339939">
    <title>Setting up Python in your Data Science and ML Development Environment | by Cerebrium | Aug, 2022 | Medium</title>
    <dc:date>2022-10-10T03:29:35+00:00</dc:date>
    <link>https://medium.com/@cerebriumai/setting-up-your-data-science-and-ml-development-environment-949277339939</link>
    <dc:creator>rrc</dc:creator><dc:subject>python machinelearning datascience</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:2c74a60d681f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://arstechnica.com/information-technology/2022/08/no-code-wrapped-our-ml-experiment-concludes-but-did-the-machine-win/">
    <title>Machine learning, concluded: Did the “no-code” tools beat manual analysis? | Ars Technica</title>
    <dc:date>2022-08-17T16:19:20+00:00</dc:date>
    <link>https://arstechnica.com/information-technology/2022/08/no-code-wrapped-our-ml-experiment-concludes-but-did-the-machine-win/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=32472636]]></description>
<dc:subject>machinelearning lowcode</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:da59f4e499f8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:lowcode"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://postgresml.org/">
    <title>PostgresML - an end-to-end machine learning solution</title>
    <dc:date>2022-05-04T20:59:36+00:00</dc:date>
    <link>https://postgresml.org/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=31238396]]></description>
<dc:subject>postgresql machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:0fd06b81e911/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:postgresql"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://forums.fast.ai/t/ann-announcing-fastai-jl-fastai-for-julia/90228">
    <title>[ANN] Announcing FastAI.jl: fastai for Julia - Deep Learning - Deep Learning Course Forums</title>
    <dc:date>2021-07-28T16:46:30+00:00</dc:date>
    <link>https://forums.fast.ai/t/ann-announcing-fastai-jl-fastai-for-julia/90228</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=27975519]]></description>
<dc:subject>machinelearning julialang deeplearning fastai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:963cfc163e8d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:julialang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:fastai"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://fingerspelling.xyz/">
    <title>Fingerspelling with Machine Learning</title>
    <dc:date>2021-05-29T03:12:10+00:00</dc:date>
    <link>https://fingerspelling.xyz/</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning tensorflowjs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:6553ac03add0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflowjs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/predicting-house-prices-using-google-automl-tables">
    <title>Predicting Housing Prices Using Google AutoML Tables - DZone AI</title>
    <dc:date>2021-05-01T03:42:50+00:00</dc:date>
    <link>https://dzone.com/articles/predicting-house-prices-using-google-automl-tables</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:d6a35151e335/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/use-of-mathematical-modeling-to-increase-the-data">
    <title>Using Machine Learning To Detect Railway Defects - DZone AI</title>
    <dc:date>2021-05-01T03:30:47+00:00</dc:date>
    <link>https://dzone.com/articles/use-of-mathematical-modeling-to-increase-the-data</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning neuralnetwork</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5172e3581228/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:neuralnetwork"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://alan-turing-institute.github.io/MLJ.jl/dev/#Key-features">
    <title>Introduction · MLJ</title>
    <dc:date>2021-04-12T01:53:32+00:00</dc:date>
    <link>https://alan-turing-institute.github.io/MLJ.jl/dev/#Key-features</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=26774590]]></description>
<dc:subject>julialang machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:306a55015d3b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:julialang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/nidhaloff/igel">
    <title>nidhaloff/igel: a machine learning tool that allows to train, test and use models without writing code</title>
    <dc:date>2020-10-03T22:29:11+00:00</dc:date>
    <link>https://github.com/nidhaloff/igel</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[A CLI & YAML program for running models quickly, GUI coming.]]></description>
<dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:4a9ac4c43127/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.youtube.com/watch?v=QwVO0Xh2Hbg">
    <title>JuliaCon 2020 | Doing Scientific Machine Learning (SciML) With Julia - YouTube</title>
    <dc:date>2020-10-03T18:56:26+00:00</dc:date>
    <link>https://www.youtube.com/watch?v=QwVO0Xh2Hbg</link>
    <dc:creator>rrc</dc:creator><dc:subject>julialang machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:054c6108f387/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:julialang"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.adafruit.com/product/4374">
    <title>Coming Soon! Machine Learning BrainCraft HAT for Raspberry Pi 4 ID: 4374 - $0.00 : Adafruit Industries, Unique &amp; fun DIY electronics and kits</title>
    <dc:date>2020-08-20T03:48:04+00:00</dc:date>
    <link>https://www.adafruit.com/product/4374</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:bd7d533c4088/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://slack.engineering/blocking-slack-invite-spam-with-machine-learning/">
    <title>Blocking Slack Invite Spam With Machine Learning - Slack Engineering</title>
    <dc:date>2020-08-10T22:18:35+00:00</dc:date>
    <link>https://slack.engineering/blocking-slack-invite-spam-with-machine-learning/</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:b393d6b82632/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.npmjs.com/package/@tensorflow-models/knn-classifier">
    <title>@tensorflow-models/knn-classifier - npm</title>
    <dc:date>2020-05-26T18:43:01+00:00</dc:date>
    <link>https://www.npmjs.com/package/@tensorflow-models/knn-classifier</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Maybe use tensorflow for shallow stuff?]]></description>
<dc:subject>tensorflow machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:fe8d33231bc8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/javascript-in-plain-english/top-12-javascript-machine-learning-libraries-for-2020-8bec30ecfa58">
    <title>Top 12 JavaScript Machine Learning Libraries for 2020</title>
    <dc:date>2020-05-25T16:50:14+00:00</dc:date>
    <link>https://medium.com/javascript-in-plain-english/top-12-javascript-machine-learning-libraries-for-2020-8bec30ecfa58</link>
    <dc:creator>rrc</dc:creator><dc:subject>tensorflow machinelearning deeplearning javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:b04a9c421b2d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:javascript"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://blog.bitsrc.io/11-javascript-machine-learning-libraries-to-use-in-your-app-c49772cca46c">
    <title>11 Javascript Machine Learning Libraries for 2019 - Bits and Pieces</title>
    <dc:date>2020-05-25T16:47:58+00:00</dc:date>
    <link>https://blog.bitsrc.io/11-javascript-machine-learning-libraries-to-use-in-your-app-c49772cca46c</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning deeplearning tensorflow javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:c3aaa9ef75f5/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:javascript"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/top-javascript-machine-learning-libraries-in-2019-cb63b95bdd10">
    <title>Top Javascript Machine Learning libraries in 2019 - Towards Data Science</title>
    <dc:date>2020-05-25T16:45:44+00:00</dc:date>
    <link>https://towardsdatascience.com/top-javascript-machine-learning-libraries-in-2019-cb63b95bdd10</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning tensorflow javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:bfdc21f74cc1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:javascript"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.snorkel.org/">
    <title>SNORKEL: THE SYSTEM FOR Programmatically Building and Managing Training Data</title>
    <dc:date>2020-03-31T01:08:10+00:00</dc:date>
    <link>https://www.snorkel.org/</link>
    <dc:creator>rrc</dc:creator><dc:subject>datamining machinelearning datascience</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:764d498c8fe1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datamining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.oreilly.com/radar/the-unreasonable-importance-of-data-preparation/">
    <title>The unreasonable importance of data preparation – O’Reilly</title>
    <dc:date>2020-03-30T02:04:10+00:00</dc:date>
    <link>https://www.oreilly.com/radar/the-unreasonable-importance-of-data-preparation/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[By Hugo Bowne-Anderson]]></description>
<dc:subject>datascience machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:136639b8b36c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:datascience"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://madewithml.com/">
    <title>Made With ML - Share what you've made with ML</title>
    <dc:date>2020-03-24T20:04:32+00:00</dc:date>
    <link>https://madewithml.com/</link>
    <dc:creator>rrc</dc:creator><dc:subject>career motivation machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:36da8a1844e8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:career"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:motivation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://news.mit.edu/2019/using-machine-learning-hunt-down-cybercriminals-1009">
    <title>Using machine learning to hunt down cybercriminals | MIT News</title>
    <dc:date>2020-03-07T16:52:42+00:00</dc:date>
    <link>https://news.mit.edu/2019/using-machine-learning-hunt-down-cybercriminals-1009</link>
    <dc:creator>rrc</dc:creator><dc:subject>security machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:e7efda711eb8/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:security"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/@pydatamiami/deep-learning-versus-conventional-machine-learning-which-is-better-12684ea48cfb">
    <title>Deep Learning versus Conventional Machine Learning — Which is better?</title>
    <dc:date>2020-03-06T23:47:35+00:00</dc:date>
    <link>https://medium.com/@pydatamiami/deep-learning-versus-conventional-machine-learning-which-is-better-12684ea48cfb</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Another example of multiple layers of abstraction is when we use a 1-dimensional CNN applied to character-level text processing (NLP). Here, the first layer can detect word suffixes like morphology of spaces. Later layers will detect word rules / parts of speech (POS) information articles/pronouns. Later layers combine these into word-level and then sentence-level understanding. Since the deep neural network (a CNN in this case) is working at the character-level, the model is also automatically able to deal with issues like mis-spellings.]]></description>
<dc:subject>deeplearning machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:8a995945634b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/homemade-machine-learning-in-python?fromrel=true">
    <title>Homemade Machine Learning in Python - DZone AI</title>
    <dc:date>2020-03-06T18:17:04+00:00</dc:date>
    <link>https://dzone.com/articles/homemade-machine-learning-in-python?fromrel=true</link>
    <dc:creator>rrc</dc:creator><dc:subject>python machinelearning jupyter</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5c4a3ee1a96f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:jupyter"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/10-interesting-use-cases-for-the-k-means-algorithm">
    <title>10 Interesting Use Cases for the K-Means Algorithm - DZone AI</title>
    <dc:date>2020-03-06T18:14:52+00:00</dc:date>
    <link>https://dzone.com/articles/10-interesting-use-cases-for-the-k-means-algorithm</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning kmeans</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:1bf5a0583d00/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:kmeans"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/hackernoon/doing-machine-learning-efficiently-8ba9d9bc679d">
    <title>How to do machine learning efficiently - HackerNoon.com - Medium</title>
    <dc:date>2020-02-11T20:28:51+00:00</dc:date>
    <link>https://medium.com/hackernoon/doing-machine-learning-efficiently-8ba9d9bc679d</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:5e19767cb3dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://towardsdatascience.com/ml-impossible-train-a-1-billion-sample-model-in-20-minutes-with-vaex-and-scikit-learn-on-your-9e2968e6f385">
    <title>ML impossible: Train 1 billion samples in 5 minutes on your laptop using Vaex and Scikit-Learn</title>
    <dc:date>2020-02-11T18:53:04+00:00</dc:date>
    <link>https://towardsdatascience.com/ml-impossible-train-a-1-billion-sample-model-in-20-minutes-with-vaex-and-scikit-learn-on-your-9e2968e6f385</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning sklearn</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:87774cccc3dd/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:sklearn"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.solfej.io/blog/how-to-find-new-music/">
    <title>How to find new and old music.</title>
    <dc:date>2020-02-10T16:09:03+00:00</dc:date>
    <link>https://www.solfej.io/blog/how-to-find-new-music/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=22194107]]></description>
<dc:subject>music machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:8e3c27faabc0/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:music"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78#hn">
    <title>Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found</title>
    <dc:date>2020-01-05T02:25:14+00:00</dc:date>
    <link>https://medium.com/machine-learning-in-practice/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78#hn</link>
    <dc:creator>rrc</dc:creator><dc:subject>nlp python deeplearning machinelearning</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:64a1dc1628f1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:nlp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:deeplearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/using-a-deep-neural-network-for-automated-call-sco-1?fromrel=true">
    <title>Using a Deep Neural Network for Automated Call Scoring (Part 2) - DZone AI</title>
    <dc:date>2019-11-08T15:34:40+00:00</dc:date>
    <link>https://dzone.com/articles/using-a-deep-neural-network-for-automated-call-sco-1?fromrel=true</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[Xgboost - everyone loves it.]]></description>
<dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5d566a9cae29/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/">
    <title>The State of Machine Learning Frameworks in 2019</title>
    <dc:date>2019-10-14T14:55:16+00:00</dc:date>
    <link>https://thegradient.pub/state-of-ml-frameworks-2019-pytorch-dominates-research-tensorflow-dominates-industry/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=21216200]]></description>
<dc:subject>pytorch tensorflow machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:5ec13bf06adc/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:pytorch"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tensorflow"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/machine-learning-in-software-development-technique">
    <title>Machine Learning in Software Development — Techniques and Tools - DZone AI</title>
    <dc:date>2019-10-12T20:19:57+00:00</dc:date>
    <link>https://dzone.com/articles/machine-learning-in-software-development-technique</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:e65df89c6b36/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://medium.com/future-vision/beginners-guide-to-linear-regression-in-python-with-cuml-30e2709c761">
    <title>Beginner’s Guide to Linear Regression in Python with cuML</title>
    <dc:date>2019-10-07T01:27:53+00:00</dc:date>
    <link>https://medium.com/future-vision/beginners-guide-to-linear-regression-in-python-with-cuml-30e2709c761</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning rapids</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:f8fbe1a93c55/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:rapids"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.economist.com/science-and-technology/2019/09/07/artificial-intelligence-is-changing-every-aspect-of-war">
    <title>Artificial intelligence is changing every aspect of war - Battle algorithm</title>
    <dc:date>2019-09-17T14:01:03+00:00</dc:date>
    <link>https://www.economist.com/science-and-technology/2019/09/07/artificial-intelligence-is-changing-every-aspect-of-war</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=20913779]]></description>
<dc:subject>ai machinelearning politics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:f0561d80b6af/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:ai"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:politics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.datacamp.com/projects/558">
    <title>Predicting Credit Card Approvals - Python - Online Project | DataCamp</title>
    <dc:date>2019-08-29T15:33:34+00:00</dc:date>
    <link>https://www.datacamp.com/projects/558</link>
    <dc:creator>rrc</dc:creator><dc:subject>python machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:f7f19b2f980f/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://dzone.com/articles/logistic-regression-vs-decision-tree?edition=517296">
    <title>Logistic Regression vs. Decision Tree - DZone Big Data</title>
    <dc:date>2019-08-23T23:54:19+00:00</dc:date>
    <link>https://dzone.com/articles/logistic-regression-vs-decision-tree?edition=517296</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:2340f87383fb/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://en.m.wikipedia.org/wiki/Precision_and_recall">
    <title>Precision and recall - Wikipedia</title>
    <dc:date>2019-07-29T20:51:32+00:00</dc:date>
    <link>https://en.m.wikipedia.org/wiki/Precision_and_recall</link>
    <dc:creator>rrc</dc:creator><dc:subject>machinelearning tutorial</dc:subject>
<dc:identifier>https://pinboard.in/u:rrc/b:19cd4a97e05d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:tutorial"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.linkedin.com/pulse/how-i-am-earning-500-followers-weekly-instagram-using-fernandes/">
    <title>(7) How I am earning ~500 followers weekly on Instagram using Python and Machine Learning, without moving a finger | LinkedIn</title>
    <dc:date>2019-07-08T15:20:41+00:00</dc:date>
    <link>https://www.linkedin.com/pulse/how-i-am-earning-500-followers-weekly-instagram-using-fernandes/</link>
    <dc:creator>rrc</dc:creator><description><![CDATA[https://news.ycombinator.com/item?id=20381180]]></description>
<dc:subject>instagram api python machinelearning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:rrc/b:12d818351ca1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:instagram"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:api"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:python"/>
	<rdf:li rdf:resource="https://pinboard.in/u:rrc/t:machinelearning"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>