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  </channel><item rdf:about="https://press.princeton.edu/books/paperback/9780691203706/visual-differential-geometry-and-forms">
    <title>Visual Differential Geometry and Forms | Princeton University Press</title>
    <dc:date>2021-08-24T04:52:27+00:00</dc:date>
    <link>https://press.princeton.edu/books/paperback/9780691203706/visual-differential-geometry-and-forms</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Visual Differential Geometry and Forms fulfills two principal goals. In the first four acts, Tristan Needham puts the geometry back into differential geometry. Using 235 hand-drawn diagrams, Needham deploys Newton’s geometrical methods to provide geometrical explanations of the classical results. In the fifth act, he offers the first undergraduate introduction to differential forms that treats advanced topics in an intuitive and geometrical manner.

Unique features of the first four acts include: four distinct geometrical proofs of the fundamentally important Global Gauss-Bonnet theorem, providing a stunning link between local geometry and global topology; a simple, geometrical proof of Gauss’s famous Theorema Egregium; a complete geometrical treatment of the Riemann curvature tensor of an n-manifold; and a detailed geometrical treatment of Einstein’s field equation, describing gravity as curved spacetime (General Relativity), together with its implications for gravitational waves, black holes, and cosmology. The final act elucidates such topics as the unification of all the integral theorems of vector calculus; the elegant reformulation of Maxwell’s equations of electromagnetism in terms of 2-forms; de Rham cohomology; differential geometry via Cartan’s method of moving frames; and the calculation of the Riemann tensor using curvature 2-forms. Six of the seven chapters of Act V can be read completely independently from the rest of the book.

Requiring only basic calculus and geometry, Visual Differential Geometry and Forms provocatively rethinks the way this important area of mathematics should be considered and taught."]]></description>
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    <title>[2007.13241] Beyond the Worst-Case Analysis of Algorithms (Introduction)</title>
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    <dc:creator>arsyed</dc:creator><description><![CDATA["One of the primary goals of the mathematical analysis of algorithms is to provide guidance about which algorithm is the "best" for solving a given computational problem. Worst-case analysis summarizes the performance profile of an algorithm by its worst performance on any input of a given size, implicitly advocating for the algorithm with the best-possible worst-case performance. Strong worst-case guarantees are the holy grail of algorithm design, providing an application-agnostic certification of an algorithm's robustly good performance. However, for many fundamental problems and performance measures, such guarantees are impossible and a more nuanced analysis approach is called for. This chapter surveys several alternatives to worst-case analysis that are discussed in detail later in the book."

"Chapter 1 of the book Beyond the Worst-Case Analysis of Algorithms, edited by Tim Roughgarden and published by Cambridge University Press (2020"]]></description>
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    <title>Text Analysis in Python for Social Scientists</title>
    <dc:date>2020-12-15T17:16:17+00:00</dc:date>
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    <dc:creator>arsyed</dc:creator><description><![CDATA[Very excited to announce my first book "Text Analysis in Python for Social Scientists: Discovery and Exploration" has come out as an Element at @CambridgeUP!

Lots of executable Python code () and colorful pictures!]]></description>
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    <title>Legally Free Python Books List | Hacker News</title>
    <dc:date>2020-12-15T15:16:06+00:00</dc:date>
    <link>https://news.ycombinator.com/item?id=25427504</link>
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    <title>PySDR: A Guide to SDR and DSP using Python — PySDR: A Guide to SDR and DSP using Python 0.1 documentation</title>
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    <title>Think DSP – Green Tea Press</title>
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    <dc:creator>arsyed</dc:creator><description><![CDATA["How biases, the desire for a good narrative, reliance on citation metrics, and other problems undermine confidence in modern science.

Modern science is built on experimental evidence, yet scientists are often very selective in deciding what evidence to use and tend to disagree about how to interpret it. In The Matter of Facts, Gareth and Rhodri Leng explore how scientists produce and use evidence. They do so to contextualize an array of problems confronting modern science that have raised concerns about its reliability: the widespread use of inappropriate statistical tests, a shortage of replication studies, and a bias in both publishing and citing “positive” results. Before these problems can be addressed meaningfully, the authors argue, we must understand what makes science work and what leads it astray.

The myth of science is that scientists constantly challenge their own thinking. But in reality, all scientists are in the business of persuading other scientists of the importance of their own ideas, and they do so by combining reason with rhetoric. Often, they look for evidence that will support their ideas, not for evidence that might contradict them; often, they present evidence in a way that makes it appear to be supportive; and often, they ignore inconvenient evidence.

In a series of essays focusing on controversies, disputes, and discoveries, the authors vividly portray science as a human activity, driven by passion as well as by reason. By analyzing the fluidity of scientific concepts and the dynamic and unpredictable development of scientific fields, the authors paint a picture of modern science and the pressures it faces."]]></description>
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    <title>Trustworthy Online Controlled Experiments - A Practical Guide to A/B Testing</title>
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    <title>All Models Are Wrong: Concepts of Statistical Learning</title>
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    <title>A Philosophy for the Science of Well-Being - Anna Alexandrova - Oxford University Press</title>
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    <title>Home | Modern Statistics for Modern Biology</title>
    <dc:date>2020-04-20T23:08:30+00:00</dc:date>
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    <title>Free Math Resources - Textbooks, Lectures Notes, Videos and Online Courses | Real Not Complex</title>
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</item>
<item rdf:about="https://arxiv.org/abs/2003.11635">
    <title>[2003.11635] Review of The Book of Why: The New Science of Cause and Effect</title>
    <dc:date>2020-03-27T15:16:00+00:00</dc:date>
    <link>https://arxiv.org/abs/2003.11635</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Book review published as: Aronow, Peter M. and Fredrik Sävje (2020), "The Book of Why: The New Science of Cause and Effect." Journal of the American Statistical Association, 115: 482-485."]]></description>
<dc:subject>causality judea-pearl reviews books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:0c9bfd5dad3b/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:judea-pearl"/>
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</item>
<item rdf:about="https://press.stripe.com/">
    <title>Stripe Press — Ideas for progress</title>
    <dc:date>2020-03-24T11:48:28+00:00</dc:date>
    <link>https://press.stripe.com/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books business stripe</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:e882e6081e21/</dc:identifier>
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</item>
<item rdf:about="https://www-users.cs.umn.edu/~saad/IterMethBook_2ndEd.pdf">
    <title>Iterative Methods for Sparse Linear Systems</title>
    <dc:date>2020-03-03T22:57:51+00:00</dc:date>
    <link>https://www-users.cs.umn.edu/~saad/IterMethBook_2ndEd.pdf</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books optimization sparsity</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:9878612cb2fc/</dc:identifier>
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<item rdf:about="http://bactra.org/weblog/algae-2016-07.html#shallice-cooper">
    <title>Books to Read While the Algae Grow in Your Fur, July 2016</title>
    <dc:date>2020-02-29T03:40:46+00:00</dc:date>
    <link>http://bactra.org/weblog/algae-2016-07.html#shallice-cooper</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[Tim Shallice and Richard P. Cooper, The Organisation of Mind ]]></description>
<dc:subject>books reviews neuroscience mind cogsci .dl</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:3bebf8969afd/</dc:identifier>
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<item rdf:about="https://github.com/fastai/fastbook">
    <title>GitHub - fastai/fastbook: Draft of the fastai book</title>
    <dc:date>2020-02-28T23:20:39+00:00</dc:date>
    <link>https://github.com/fastai/fastbook</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books neural-net deep-learning fastai</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:905699b1a573/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:fastai"/>
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</item>
<item rdf:about="https://mathoverflow.net/questions/31879/are-there-other-nice-math-books-close-to-the-style-of-tristan-needham">
    <title>Are there other nice math books close to the style of Tristan Needham? - MathOverflow</title>
    <dc:date>2020-02-21T20:04:11+00:00</dc:date>
    <link>https://mathoverflow.net/questions/31879/are-there-other-nice-math-books-close-to-the-style-of-tristan-needham</link>
    <dc:creator>arsyed</dc:creator><dc:subject>math books rec</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:56fd6399228c/</dc:identifier>
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<item rdf:about="https://www.facebook.com/tristan.needham.5">
    <title>Tristan Needham | Facebook</title>
    <dc:date>2020-02-21T20:03:10+00:00</dc:date>
    <link>https://www.facebook.com/tristan.needham.5</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["[...] I am now back doing honest work writing a new book, "Visual Differential Geometry and Forms: A Mathematical Drama in Five Acts" [VDGF].
Following in the footsteps of VCA, in VDGF I am again employing Newton's style of infinitesimal geometry, but this time to explain the concepts and results of differential geometry. [...] will be published in 2020 by Princeton University Press."]]></description>
<dc:subject>books math differential-geometry tristan-needham</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:tristan-needham"/>
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<item rdf:about="https://compstat-lmu.github.io/iml_methods_limitations/">
    <title>Limitations of Interpretable Machine Learning Methods</title>
    <dc:date>2019-12-05T20:17:07+00:00</dc:date>
    <link>https://compstat-lmu.github.io/iml_methods_limitations/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books machine-learning interpretability</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:f07a41380d12/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:interpretability"/>
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</item>
<item rdf:about="https://gumdroptots.com/collections/books/products/sonya-s-chickens">
    <title>Sonya’s Chickens by Phoebe Wahl – Gumdrop Tots</title>
    <dc:date>2019-11-14T17:35:42+00:00</dc:date>
    <link>https://gumdroptots.com/collections/books/products/sonya-s-chickens</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books kids loss grief</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:a35a97ea26c9/</dc:identifier>
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<item rdf:about="https://blogs.ams.org/inclusionexclusion/2019/06/26/living-proof-a-must-read/">
    <title>Living Proof: A Must-Read | inclusion/exclusion</title>
    <dc:date>2019-11-14T00:05:39+00:00</dc:date>
    <link>https://blogs.ams.org/inclusionexclusion/2019/06/26/living-proof-a-must-read/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["The AMS and MAA have recently published a phenomenal collection of essays entitled “Living Proof: Stories of Resilience Along the Mathematical Journey”"]]></description>
<dc:subject>books math</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:463439f95f14/</dc:identifier>
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</item>
<item rdf:about="https://journals.sagepub.com/doi/full/10.1177/0094306119880195">
    <title>See It with Figures - John Levi Martin, 2019</title>
    <dc:date>2019-11-05T04:38:02+00:00</dc:date>
    <link>https://journals.sagepub.com/doi/full/10.1177/0094306119880195</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews visualization ggplot smoothing eda</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ad3ab2b4f06c/</dc:identifier>
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<item rdf:about="https://www.springer.com/gp/book/9783319775852">
    <title>Practical Mathematical Optimization - Basic Optimization Theory and Gradient-Based Algorithms | Jan A Snyman | Springer</title>
    <dc:date>2019-09-30T03:58:05+00:00</dc:date>
    <link>https://www.springer.com/gp/book/9783319775852</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences.  Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be  able to develop systematic and scientific numerical investigative skills."]]></description>
<dc:subject>books optimization .dl</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:651d666f582e/</dc:identifier>
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<item rdf:about="https://www.ebooks.com/en-us/95729334/designing-data-intensive-applications/martin-kleppmann/?_c=1">
    <title>Designing Data-Intensive Applications by Martin Kleppmann (ebook)</title>
    <dc:date>2019-09-27T08:19:01+00:00</dc:date>
    <link>https://www.ebooks.com/en-us/95729334/designing-data-intensive-applications/martin-kleppmann/?_c=1</link>
    <dc:creator>arsyed</dc:creator><dc:subject>via:absfac books rec database swdev distcomp</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:c570da016df2/</dc:identifier>
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</item>
<item rdf:about="https://www.voicestrategybook.com/book-order">
    <title>Voice Strategy Book</title>
    <dc:date>2019-09-26T17:57:36+00:00</dc:date>
    <link>https://www.voicestrategybook.com/book-order</link>
    <dc:creator>arsyed</dc:creator><dc:subject>voice ux books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:69a72b658890/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:voice"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:ux"/>
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</item>
<item rdf:about="https://www.theatlantic.com/ideas/archive/2019/09/when-malcolm-gladwell-says-nothing-at-all/597697/">
    <title>Malcolm Gladwell's 'Talking to Strangers' Doesn't Say Much - The Atlantic</title>
    <dc:date>2019-09-11T12:56:30+00:00</dc:date>
    <link>https://www.theatlantic.com/ideas/archive/2019/09/when-malcolm-gladwell-says-nothing-at-all/597697/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["To get her “five times” figure, Jamison explains in her book, she studied the lives of “all major British and Irish poets born between 1705 and 1805.” She determined their “major” status by consulting old poetry anthologies. She decided there were 36—not 35, not 37, but 36—major poets, ranging from the well-known and era-defining (William Wordsworth) to the obscure and improbably named (John Bampfylde). Of the 36 poets, two committed suicide. (It’s not clear that these two can even be classified as poets, however: One was a physician by trade, and the other died at 17, probably too young to qualify for an occupational category.) Jamison reckoned that two out of 36, proportionally, is five times the suicide rate for the general population.

Voilà! A statistic is born.

This is thin soup. One wonders whether Gladwell bothered to trace the statistic back to its source. Jamison’s sample is clearly too small and peculiar to yield a reliable understanding of the suicide rate among poets, even 18th-century poets in the British Isles. Many people who spend a lot of time writing poetry are eccentric; the elevated suicide rate feels true, intuitively. But for Gladwell, as for so many consumers of social science, the intuition becomes real only if it’s quantified, even when any kind of useful quantification is implausible on its face."]]></description>
<dc:subject>stats books reviews malcolm-gladwell</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:76cd3bf4f18c/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:malcolm-gladwell"/>
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</item>
<item rdf:about="https://basecamp.com/shapeup">
    <title>SHAPE UP - Stop Running in Circles and Ship Work that Matters</title>
    <dc:date>2019-09-10T19:35:56+00:00</dc:date>
    <link>https://basecamp.com/shapeup</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books swdev basecamp project-management</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:d9fc90a35305/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:swdev"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:basecamp"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:project-management"/>
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</item>
<item rdf:about="https://global.oup.com/academic/product/the-ethical-algorithm-9780190948207">
    <title>The Ethical Algorithm - Michael Kearns; Aaron Roth - Oxford University Press</title>
    <dc:date>2019-08-29T18:01:03+00:00</dc:date>
    <link>https://global.oup.com/academic/product/the-ethical-algorithm-9780190948207</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. Algorithms have made our lives more efficient, more entertaining, and, sometimes, better informed. At the same time, complex algorithms are increasingly violating the basic rights of individual citizens. Allegedly anonymized datasets routinely leak our most sensitive personal information; statistical models for everything from mortgages to college admissions reflect racial and gender bias. Meanwhile, users manipulate algorithms to "game" search engines, spam filters, online reviewing services, and navigation apps.

Understanding and improving the science behind the algorithms that run our lives is rapidly becoming one of the most pressing issues of this century. Traditional fixes, such as laws, regulations and watchdog groups, have proven woefully inadequate. Reporting from the cutting edge of scientific research, The Ethical Algorithm offers a new approach: a set of principled solutions based on the emerging and exciting science of socially aware algorithm design. Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration. Weaving together innovative research with stories of citizens, scientists, and activists on the front lines, The Ethical Algorithm offers a compelling vision for a future, one in which we can better protect humans from the unintended impacts of algorithms while continuing to inspire wondrous advances in technology."]]></description>
<dc:subject>books machine-learning fairness michael-kearns aaron-roth</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:75254b9b0f04/</dc:identifier>
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<item rdf:about="https://conversableeconomist.blogspot.com/2019/08/uwe-reinhardt-had-remarkable-skill-that.html">
    <title>CONVERSABLE ECONOMIST: Uwe Reinhardt on High US Health Care Costs</title>
    <dc:date>2019-08-15T14:04:42+00:00</dc:date>
    <link>https://conversableeconomist.blogspot.com/2019/08/uwe-reinhardt-had-remarkable-skill-that.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>healthcare costs books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:e6ddd201b0a1/</dc:identifier>
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<item rdf:about="https://mathtango.blogspot.com/2016/05/feel-burn.html">
    <title>MathTango... : Feel the Burn... ;-)</title>
    <dc:date>2019-08-05T16:06:25+00:00</dc:date>
    <link>https://mathtango.blogspot.com/2016/05/feel-burn.html</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Burn Math Class" by Jason Wilkes]]></description>
<dc:subject>books math education intro</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:2ce8b5b46ffa/</dc:identifier>
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<item rdf:about="https://www.geogebra.org/m/x39ys4d7">
    <title>Calculus For The People -- Season 1 – GeoGebra</title>
    <dc:date>2019-08-05T16:02:32+00:00</dc:date>
    <link>https://www.geogebra.org/m/x39ys4d7</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books math calculus interactive tutorials intro geogebra</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:942f115d1a53/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:intro"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:geogebra"/>
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</item>
<item rdf:about="https://kottke.org/19/07/highlights-from-in-the-garden-of-beasts-by-erik-larson">
    <title>Highlights from In the Garden of Beasts by Erik Larson</title>
    <dc:date>2019-07-22T03:06:39+00:00</dc:date>
    <link>https://kottke.org/19/07/highlights-from-in-the-garden-of-beasts-by-erik-larson</link>
    <dc:creator>arsyed</dc:creator><dc:subject>history germany nazi books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:49976f9d2fe0/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:nazi"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
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</item>
<item rdf:about="https://jim-stone.staff.shef.ac.uk/AIEngines/index.html">
    <title>Artificial Intelligence Engines Book</title>
    <dc:date>2019-07-07T20:12:44+00:00</dc:date>
    <link>https://jim-stone.staff.shef.ac.uk/AIEngines/index.html</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books neural-net .dl</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:08df84778398/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:neural-net"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:.dl"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://www.inferentialthinking.com/">
    <title>The Foundations of Data Science</title>
    <dc:date>2019-07-07T16:02:11+00:00</dc:date>
    <link>https://www.inferentialthinking.com/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books data-science statistics intro</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:99d67efb8bae/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:intro"/>
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</item>
<item rdf:about="https://www.nybooks.com/articles/2018/05/24/big-brother-goes-digital/">
    <title>Big Brother Goes Digital | by Simon Head | The New York Review of Books</title>
    <dc:date>2019-07-01T11:19:37+00:00</dc:date>
    <link>https://www.nybooks.com/articles/2018/05/24/big-brother-goes-digital/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews tracking surveillance government privacy</dc:subject>
<dc:identifier>https://pinboard.in/u:arsyed/b:94df7713ba4e/</dc:identifier>
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<item rdf:about="https://www.goodreads.com/book/show/7906964-the-fires">
    <title>The Fires: How a Computer Formula, Big Ideas, and the Best of Intentions Burned Down New York City-and Determined the Future of Cities by Joe Flood</title>
    <dc:date>2019-06-17T16:57:24+00:00</dc:date>
    <link>https://www.goodreads.com/book/show/7906964-the-fires</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["New York City, 1968. The RAND Corporation had presented an alluring proposal to a city on the brink of economic collapse: Using RAND's computer models, which had been successfully implemented in high-level military operations, the city could save millions of dollars by establishing more efficient public services. The RAND boys were the best and brightest, and bore all the sheen of modern American success. New York City, on the other hand, seemed old-fashioned, insular, and corrupt-and the new mayor was eager for outside help, especially something as innovative and infallible as "computer modeling." A deal was struck: RAND would begin its first major civilian effort with the FDNY.

Over the next decade-a time New York City firefighters would refer to as "The War Years"-a series of fires swept through the South Bronx, the Lower East Side, Harlem, and Brooklyn, gutting whole neighborhoods, killing more than two thousand people and displacing hundreds of thousands. Conventional wisdom would blame arson, but these fires were the result of something altogether different: the intentional withdrawal of fire protection from the city's poorest neighborhoods-all based on RAND's computer modeling systems."]]></description>
<dc:subject>books nyc bronx rand algorithms fires rec .dl</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:31f414a9dcee/</dc:identifier>
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</item>
<item rdf:about="https://link.springer.com/book/10.1007%2F978-3-030-14596-5">
    <title>Deep Learning for NLP and Speech Recognition | SpringerLink</title>
    <dc:date>2019-06-15T16:31:33+00:00</dc:date>
    <link>https://link.springer.com/book/10.1007%2F978-3-030-14596-5</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books .dl speech nlp asr deep-learning</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:2975ffad1cb6/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:deep-learning"/>
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<item rdf:about="https://observablehq.com/@bmschmidt/book-visualizations-sandbox?htid=pst.000061166424">
    <title>Book visualizations sandbox / Benjamin Schmidt / Observable</title>
    <dc:date>2019-06-11T13:09:18+00:00</dc:date>
    <link>https://observablehq.com/@bmschmidt/book-visualizations-sandbox?htid=pst.000061166424</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books visualization text-analysis</dc:subject>
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<item rdf:about="https://www.documentjournal.com/2019/05/liana-fincks-9-favorite-picture-books-for-proper-adults/">
    <title>Liana Finck's 9 favorite picture books for proper adults</title>
    <dc:date>2019-06-10T15:30:45+00:00</dc:date>
    <link>https://www.documentjournal.com/2019/05/liana-fincks-9-favorite-picture-books-for-proper-adults/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books comics cartoons rec</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:2a90cf2bba7f/</dc:identifier>
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<item rdf:about="https://automatetheboringstuff.com/">
    <title>Automate the Boring Stuff with Python</title>
    <dc:date>2019-05-24T20:05:10+00:00</dc:date>
    <link>https://automatetheboringstuff.com/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books python programming automation intro</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:4ea43d4b8cf5/</dc:identifier>
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<item rdf:about="https://ndpr.nd.edu/news/paradoxes-of-time-travel/">
    <title>Paradoxes of Time Travel // Reviews // Notre Dame Philosophical Reviews // University of Notre Dame</title>
    <dc:date>2019-05-18T18:44:52+00:00</dc:date>
    <link>https://ndpr.nd.edu/news/paradoxes-of-time-travel/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books time-travel metaphysics philosophy</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:77b6630567cf/</dc:identifier>
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<item rdf:about="https://www.cambridge.org/9781108476676">
    <title>Time and causality across the sciences</title>
    <dc:date>2019-05-18T07:02:41+00:00</dc:date>
    <link>https://www.cambridge.org/9781108476676</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["This book, geared toward academic researchers and graduate students, brings together research on all facets of how time and causality relate across the sciences. Time is fundamental to how we perceive and reason about causes. It lets us immediately rule out the sound of a car crash as its cause. That a cause happens before its effect has been a core, and often unquestioned, part of how we describe causality. Research across disciplines shows that the relationship is much more complex than that. This book explores what that means for both the metaphysics and epistemology of causes - what they are and how we can find them. Across psychology, biology, and the social sciences, common themes emerge, suggesting that time plays a critical role in our understanding. The increasing availability of large time series datasets allows us to ask new questions about causality, necessitating new methods for modeling dynamic systems and incorporating mechanistic information into causal models."]]></description>
<dc:subject>books causality causal-systems time samantha-kleinberg via:cshalizi</dc:subject>
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<item rdf:about="http://htmlgiant.com/reviews/an-exhausting-attempt-of-reviewing-perec%E2%80%99s-an-attempt-at-exhausting-a-place-in-paris/">
    <title>An Exhausting Attempt of Reviewing Perec’s An Attempt at Exhausting a Place in Paris</title>
    <dc:date>2019-05-06T17:00:23+00:00</dc:date>
    <link>http://htmlgiant.com/reviews/an-exhausting-attempt-of-reviewing-perec%E2%80%99s-an-attempt-at-exhausting-a-place-in-paris/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["There is a sadness that lingers beneath An Attempt: a melancholy at his failure to communicate everything. It exhausts him, and in exhausting him, it exhausts me, draws me into his melancholy. Even if this type of communication is familiar to me now, I’m continually reminded of his concept of the infraordinary, that even at my most observant, there are things which escape me, that even if I were to sit in a quiet café and do nothing but watch, I could not see everything. An Attempt is a reminder of my own failures: my inability to see everything, to read everything, to understand everything, etc. I’ve failed even at this attempt at reviewing a book. Like Perec, I’ve interrupted myself, become lost while I’m trying to observe only what he has observed."]]></description>
<dc:subject>books infraordinary georges-perec</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:a0479bb0a7d3/</dc:identifier>
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<item rdf:about="https://statmodeling.stat.columbia.edu/2019/04/12/several-reviews-of-deborah-mayos-new-book-statistical-inference-as-severe-testing-how-to-get-beyond-the-statistics-wars/">
    <title>Several reviews of Deborah Mayo’s new book, Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars « Statistical Modeling, Causal Inference, and Social Science</title>
    <dc:date>2019-04-14T15:44:30+00:00</dc:date>
    <link>https://statmodeling.stat.columbia.edu/2019/04/12/several-reviews-of-deborah-mayos-new-book-statistical-inference-as-severe-testing-how-to-get-beyond-the-statistics-wars/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews deborah-mayo statistics severity hypothesis-testing</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:1eceb053ff8d/</dc:identifier>
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</item>
<item rdf:about="https://arxiv.org/abs/1803.00567">
    <title>[1803.00567] Computational Optimal Transport</title>
    <dc:date>2019-04-05T00:58:05+00:00</dc:date>
    <link>https://arxiv.org/abs/1803.00567</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[ Optimal transport (OT) theory can be informally described using the words of the French mathematician Gaspard Monge (1746-1818): A worker with a shovel in hand has to move a large pile of sand lying on a construction site. The goal of the worker is to erect with all that sand a target pile with a prescribed shape (for example, that of a giant sand castle). Naturally, the worker wishes to minimize her total effort, quantified for instance as the total distance or time spent carrying shovelfuls of sand. Mathematicians interested in OT cast that problem as that of comparing two probability distributions, two different piles of sand of the same volume. They consider all of the many possible ways to morph, transport or reshape the first pile into the second, and associate a "global" cost to every such transport, using the "local" consideration of how much it costs to move a grain of sand from one place to another. Recent years have witnessed the spread of OT in several fields, thanks to the emergence of approximate solvers that can scale to sizes and dimensions that are relevant to data sciences. Thanks to this newfound scalability, OT is being increasingly used to unlock various problems in imaging sciences (such as color or texture processing), computer vision and graphics (for shape manipulation) or machine learning (for regression, classification and density fitting). This short book reviews OT with a bias toward numerical methods and their applications in data sciences, and sheds lights on the theoretical properties of OT that make it particularly useful for some of these applications. ]]></description>
<dc:subject>optimal-transport books</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:95e6fb3fc86f/</dc:identifier>
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</item>
<item rdf:about="https://cs.nyu.edu/~mohri/mlbook/">
    <title>Mehryar Mohri -- Foundations of Machine Learning - Book</title>
    <dc:date>2019-04-05T00:25:22+00:00</dc:date>
    <link>https://cs.nyu.edu/~mohri/mlbook/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[second edition]]></description>
<dc:subject>books machine-learning learning-theory mehryar-mohri</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:9238075f11dc/</dc:identifier>
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</item>
<item rdf:about="http://www.learningscientists.org/book">
    <title>Book — The Learning Scientists</title>
    <dc:date>2019-03-05T20:50:44+00:00</dc:date>
    <link>http://www.learningscientists.org/book</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books learning teaching via:csantos</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:02ddad5fb598/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:books"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:teaching"/>
	<rdf:li rdf:resource="https://pinboard.in/u:arsyed/t:via:csantos"/>
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</item>
<item rdf:about="https://bostonreview.net/class-inequality/marshall-steinbaum-book-explains-charlottesville">
    <title>The Book that Explains Charlottesville | Boston Review</title>
    <dc:date>2019-03-05T15:52:30+00:00</dc:date>
    <link>https://bostonreview.net/class-inequality/marshall-steinbaum-book-explains-charlottesville</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews race history</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:ee02603c1f91/</dc:identifier>
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</item>
<item rdf:about="https://mitpress.mit.edu/books/wired-speech">
    <title>Wired for Speech | The MIT Press</title>
    <dc:date>2019-02-24T02:15:56+00:00</dc:date>
    <link>https://mitpress.mit.edu/books/wired-speech</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books speech voice ui hci .dl</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:arsyed/b:b0fcdbb938ff/</dc:identifier>
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</item>
<item rdf:about="https://github.com/bob-carpenter/prob-stats">
    <title>bob-carpenter/prob-stats: Probability and Statistics: a simulation-based introduction. An open-access book.</title>
    <dc:date>2019-02-15T14:28:51+00:00</dc:date>
    <link>https://github.com/bob-carpenter/prob-stats</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[This is the source repo for the following open-access book.

Bob Carpenter and Brian Ward. 2022 Draft. Probability and Statistics: a simulation-based approach. Publisher TBD.]]></description>
<dc:subject>books probability statistics simulation intro bob-carpenter statcomp</dc:subject>
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<item rdf:about="https://seeing-theory.brown.edu/">
    <title>Seeing Theory</title>
    <dc:date>2019-01-15T18:56:48+00:00</dc:date>
    <link>https://seeing-theory.brown.edu/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books probability statistics visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.vox.com/the-goods/2018/12/7/18131132/public-transportation-bus-subway-america-us">
    <title>Which US cities have good and bad public transportation - Vox</title>
    <dc:date>2018-12-09T16:05:43+00:00</dc:date>
    <link>https://www.vox.com/the-goods/2018/12/7/18131132/public-transportation-bus-subway-america-us</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Christof Spieler, a structural engineer and urban planner from Houston, has lots of opinions about public transit in America and elsewhere. In his new book, Trains, Buses, People: An Opinionated Atlas of US Transit, he maps out 47 metro areas that have rail transit or bus rapid transit, ranks the best and worst systems, and offers advice on how to build better networks."]]></description>
<dc:subject>cities transportation books</dc:subject>
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<item rdf:about="https://exp-platform.com/advanced-topics-in-online-experiments/">
    <title>Advanced Topics in Online Experiments – ExP Platform</title>
    <dc:date>2018-10-26T23:08:41+00:00</dc:date>
    <link>https://exp-platform.com/advanced-topics-in-online-experiments/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>experiment causality ronny-kohavi books online-learning .dl</dc:subject>
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<item rdf:about="http://book.bionumbers.org/">
    <title>Cell Biology by the Numbers</title>
    <dc:date>2018-10-23T15:21:00+00:00</dc:date>
    <link>http://book.bionumbers.org/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Vignettes that reveal how numbers serve as a sixth sense to understanding our cells"]]></description>
<dc:subject>biology numbers scale approximation books numeracy .* rec</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://web.stanford.edu/~boyd/vmls/">
    <title>Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares</title>
    <dc:date>2018-09-20T03:14:01+00:00</dc:date>
    <link>https://web.stanford.edu/~boyd/vmls/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books math linear-algebra stephen-boyd julia</dc:subject>
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<item rdf:about="https://github.com/chlalanne/vizRguide">
    <title>GitHub - chlalanne/vizRguide: R graphics and data munging</title>
    <dc:date>2018-09-19T21:19:39+00:00</dc:date>
    <link>https://github.com/chlalanne/vizRguide</link>
    <dc:creator>arsyed</dc:creator><dc:subject>R visualization books latex</dc:subject>
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<item rdf:about="https://github.com/iMarcoGovea/books">
    <title>iMarcoGovea/books</title>
    <dc:date>2018-09-14T21:25:20+00:00</dc:date>
    <link>https://github.com/iMarcoGovea/books</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books tech swdev devops</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://bactra.org/weblog/algae-2018-08.html">
    <title>Books to Read While the Algae Grow in Your Fur, August 2018</title>
    <dc:date>2018-09-13T22:14:10+00:00</dc:date>
    <link>http://bactra.org/weblog/algae-2018-08.html</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA[Vladimir I. Propp, Morphology of the Folktale 
"Propp set out to identify the basic elements of the plots of Russian fairy tales, working at a level of abstraction where "it does not matter whether a dragon kidnaps a princess or whether a devil makes off with either a priest's or a peasant's daughter". He came up with 31 such "functions".  [...]
What I find so astonishing here is that this is a formal grammar, though propounded many years before that notion emerged in linguistics, logic and computer science. Specifically, it is a formal grammar which generates fairytale plots. Propp realized this, and used the schema to create new fairy tales [1] (unfortunately, not recorded). A basic principle of formal language theory is that a schema which generates all and only the valid strings of a language can also be used to recognize whether a string belongs to that language; Propp implicitly grasped this, and argued on this basis that some non-fairy-tales in his corpus were more properly classed with the fairy tales."]]></description>
<dc:subject>grammar folklore story plot fairytale books russia</dc:subject>
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<dc:identifier>https://pinboard.in/u:arsyed/b:dde150c1c677/</dc:identifier>
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</item>
<item rdf:about="https://www.albany.edu/physics/ACaticha-EIFP-book.pdf">
    <title>Entropic Inference and the Foundations of Physics</title>
    <dc:date>2018-08-12T22:56:46+00:00</dc:date>
    <link>https://www.albany.edu/physics/ACaticha-EIFP-book.pdf</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["Our goal is twofold. First, to develop the main tools for inference — probability and entropy — and to demonstrate their use. And second, to demonstrate their importance for physics. More specifically our goal is to clarify the conceptual foundations of physics by deriving the fundamental laws of statistical mechanics and of quantum mechanics as examples of inductive inference. Perhaps all physics can be derived in this way."]]></description>
<dc:subject>books statistics physics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.youtube.com/channel/UCF9O8Vj-FEbRDA5DcDGz-Pg/videos">
    <title>(1) Alena Kruchkova - YouTube</title>
    <dc:date>2018-08-11T23:26:44+00:00</dc:date>
    <link>https://www.youtube.com/channel/UCF9O8Vj-FEbRDA5DcDGz-Pg/videos</link>
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<item rdf:about="http://banditalgs.com/?mlreview.com">
    <title>Bandit Algorithms</title>
    <dc:date>2018-08-07T19:47:06+00:00</dc:date>
    <link>http://banditalgs.com/?mlreview.com</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["After nearly two years since starting to write the blog we have at last completed a first draft of the book, which is to be published by Cambridge University Press. The book is available for free as a PDF and will remain so after publication."]]></description>
<dc:subject>books bandits online-learning csaba-szepesvari tor-lattimore</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://fairmlbook.org/">
    <title>Fairness and machine learning - Solon Barocas, Moritz Hardt, Arvind Narayanan</title>
    <dc:date>2018-07-19T05:15:10+00:00</dc:date>
    <link>http://fairmlbook.org/</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["This online textbook is an incomplete work in progress. Essential chapters are still missing. In the spirit of open review, we solicit broad feedback that will influence existing chapters, as well as the development of later material."]]></description>
<dc:subject>books machine-learning fairness</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.newyorker.com/magazine/2018/07/23/can-economists-and-humanists-ever-be-friends">
    <title>Can Economists and Humanists Ever Be Friends? | The New Yorker</title>
    <dc:date>2018-07-18T23:26:58+00:00</dc:date>
    <link>https://www.newyorker.com/magazine/2018/07/23/can-economists-and-humanists-ever-be-friends</link>
    <dc:creator>arsyed</dc:creator><description><![CDATA["The humanist response to Desai here is to say, You do you, but please put down the nineteenth-century novels and step away. His account of the invention of formalized bankruptcy is fascinating, but then he compares the story of the American Airlines bust, in 2011, to Aeschylus’ great play “Agamemnon.” Because the company’s stock price had already dropped before the bankruptcy was announced, and, as Desai says, “ultimately individuals who bought American shares and bonds at the filing made five to ten times their investment in two years,” we can draw an analogy with Agamemnon’s tragic decision to sacrifice his beloved daughter Iphigenia. To which the humanist response is: Yeah, no."]]></description>
<dc:subject>economics humanities books reviews</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://web.stanford.edu/class/bios221/book/">
    <title>Modern Statistics for Modern Biology</title>
    <dc:date>2018-06-26T20:00:51+00:00</dc:date>
    <link>http://web.stanford.edu/class/bios221/book/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books statistics R intro textbooks biology susan-holmes .*</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://legacy.gitbook.com/book/qasimk/programmers-compendium/details">
    <title>The Programmer's Compendium · GitBook</title>
    <dc:date>2018-06-16T18:57:53+00:00</dc:date>
    <link>https://legacy.gitbook.com/book/qasimk/programmers-compendium/details</link>
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<item rdf:about="http://www.feat.engineering/">
    <title>Feature Engineering and Selection: A Practical Approach for Predictive Models</title>
    <dc:date>2018-06-15T02:38:41+00:00</dc:date>
    <link>http://www.feat.engineering/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books statistics .browse</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://www.washingtonpost.com/opinions/his-white-suit-unsullied-by-research-tom-wolfe-tries-to-take-down-charles-darwin/2016/08/31/8ee6d4ee-4936-11e6-90a8-fb84201e0645_story.html?noredirect=on">
    <title>His white suit unsullied by research, Tom Wolfe tries to take down Charles Darwin and Noam Chomsky</title>
    <dc:date>2018-06-13T02:51:40+00:00</dc:date>
    <link>https://www.washingtonpost.com/opinions/his-white-suit-unsullied-by-research-tom-wolfe-tries-to-take-down-charles-darwin/2016/08/31/8ee6d4ee-4936-11e6-90a8-fb84201e0645_story.html?noredirect=on</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books reviews jerry-coyne tom-wolfe evolution linguistics</dc:subject>
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<item rdf:about="https://fivebooks.com/best-books/dick-passingham-cognitive-neuroscience/">
    <title>The Best Books on Cognitive Neuroscience | Five Books</title>
    <dc:date>2018-06-09T02:56:11+00:00</dc:date>
    <link>https://fivebooks.com/best-books/dick-passingham-cognitive-neuroscience/</link>
    <dc:creator>arsyed</dc:creator><dc:subject>books brain neuroscience cogsci</dc:subject>
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<item rdf:about="http://andrewgelman.com/2018/05/14/aki_books/">
    <title>Aki's favorite scientific books (so far) - Statistical Modeling, Causal Inference, and Social Science</title>
    <dc:date>2018-06-06T16:12:24+00:00</dc:date>
    <link>http://andrewgelman.com/2018/05/14/aki_books/</link>
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