Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor - ACL Anthology 2026-06-17T16:00:06+00:00 https://aclanthology.org/2020.cl-2.7/ cshalizi to:NB have_read analogy algorithmic_fairness to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ff3f7072cb0a/ Concerning the Responsible Use of AI in the U.S. Criminal Justice System | Communications of the ACM 2026-06-04T15:53:42+00:00 https://dl.acm.org/doi/full/10.1145/3722548 cshalizito:NB kith_and_kin algorithmic_fairness moore.cris to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a1ce478cb8c7/ Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression | OpenReview 2025-09-02T19:30:09+00:00 https://openreview.net/forum?id=SBE2q9qwZj cshalizi to:NB to_read nearest_neighbors to_teach:data-mining to_teach:undergrad-ADA via:? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a7ddd207a4f6/ The sovereign individual and the paradox of the digital age | Aeon Essays 2025-08-22T13:06:47+00:00 https://aeon.co/essays/the-sovereign-individual-and-the-paradox-of-the-digital-age cshalizihave_read healy.kieran networked_life to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4fd386526e12/ AI as Governance | Annual Reviews 2025-06-20T19:38:37+00:00 https://www.annualreviews.org/content/journals/10.1146/annurev-polisci-040723-013245 cshaliziin_NB algorithmic_fairness artificial_intelligence re:shoggothim farrell.henry kith_and_kin have_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c53762fb1437/ Inside the AI Tool Used by DOGE to Review Veterans Affairs Contracts — ProPublica 2025-06-15T15:50:36+00:00 https://www.propublica.org/article/inside-ai-tool-doge-veterans-affairs-contracts-sahil-lavingia cshaliziutter_stupidity us_politics large_language_models_(so_called) programming classifiers to_teach:data-mining have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8dfe8878ce5a/ On Relevance, Probabilistic Indexing and Information Retrieval | Journal of the ACM [1960] 2025-05-17T11:53:39+00:00 https://dl.acm.org/doi/10.1145/321033.321035 cshalizi to_read information_retrieval relevance to_teach:data-mining via:mraginsky in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0515f0733905/ [1503.02531] Distilling the Knowledge in a Neural Network 2025-03-04T18:58:35+00:00 https://arxiv.org/abs/1503.02531 cshalizi to:NB ensemble_methods to_read to_teach:data-mining via:rvenkat https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a950b4f51e90/ Model compression | Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining 2025-03-04T18:57:34+00:00 https://dl.acm.org/doi/10.1145/1150402.1150464 cshalizi to:NB ensemble_methods to_read to_teach:data-mining via:rvenkat https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5a3d0fd453f6/ Stop using generative AI as a search engine - The Verge 2024-12-06T13:56:06+00:00 https://www.theverge.com/2024/12/5/24313222/chatgpt-pardon-biden-bush-esquire cshalizi large_language_models_(so_called) to_teach to_teach:data-mining to_teach:undergrad-ADA to_teach:statistics_of_inequality_and_discrimination information_retrieval have_read via:? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4dc951b569f7/ An Algorithm Told Police She Was Safe. Then Her Husband Killed Her. - The New York Times 2024-07-19T04:32:41+00:00 https://www.nytimes.com/interactive/2024/07/18/technology/spain-domestic-violence-viogen-algorithm.html?smid=nytcore-ios-share&referringSource=articleShare&sgrp=c-cb cshalizi to:NB to_teach:data-mining risk_assessment violence ethical_and_political_issues_in_data_mining decision-making have_read via:aeo https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6ffe6f5184b4/ now publishers - Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning 2024-03-02T19:20:27+00:00 https://nowpublishers.com/article/Details/MAL-106 cshalizi to:NB algorithmic_fairness causal_inference to_read to_teach:statistics_of_inequality_and_discrimination to_teach:data-mining bareinboim.elias https://pinboard.in/ https://pinboard.in/u:cshalizi/b:58b48843b8d2/ [2310.00865] Data Science at the Singularity 2023-11-16T16:52:03+00:00 https://arxiv.org/abs/2310.00865 cshalizi to:NB donoho.david reproducibility computational_statistics to_teach:statcomp to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ff1a86af9c29/ [1712.03586] Fairness in Machine Learning: Lessons from Political Philosophy 2023-10-24T13:46:25+00:00 https://arxiv.org/abs/1712.03586# cshalizi in_NB political_philosophy algorithmic_fairness to_read via:wiggins to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:52018eac4bb1/ [2301.11562] Is My Prediction Arbitrary? The Confounding Effects of Variance in Fair Classification Benchmarks 2023-09-15T19:39:01+00:00 https://arxiv.org/abs/2301.11562 cshalizi algorithmic_fairness via:rvenkat classifiers have_read ensemble_methods uncertainty_for_neural_networks in_NB to_teach:data-mining https://pinboard.in/u:cshalizi/b:bec8057ed430/ Understanding Social Media Recommendation Algorithms | Knight First Amendment Institute 2023-06-06T01:49:35+00:00 https://knightcolumbia.org/content/understanding-social-media-recommendation-algorithms cshalizirecommender_systems in_NB to_teach:data-mining naranyan.arvind https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b4f86a8f7ba0/ [2305.17224] Fast and Minimax Optimal Estimation of Low-Rank Matrices via Non-Convex Gradient Descent 2023-06-05T03:07:07+00:00 https://arxiv.org/abs/2305.17224 cshalizi to:NB low-rank_approximation computational_statistics optimization to_teach:data-mining minimax https://pinboard.in/ https://pinboard.in/u:cshalizi/b:143024a0fac1/ GitHub - igorbrigadir/awesome-twitter-algo: The release of the Twitter algorithm, annotated for recsys 2023-05-02T20:39:10+00:00 https://github.com/igorbrigadir/awesome-twitter-algo cshalizitwitter recommender_systems to_teach:data-mining have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:661b081ee535/ Reconciling Algorithmic Fairness Criteria - Beigang - 2023 - Philosophy & Public Affairs - Wiley Online Library 2023-05-02T19:24:32+00:00 https://onlinelibrary.wiley.com/doi/full/10.1111/papa.12233 cshalizi parity of predictive values. By matching on outcomes (!), Beigang has constructed distributed where the prevalences must be equal, so Chouldechova implies parity of error rates and predictive values. But matching on outcomes is absurd. I'd even say that matching on propensity scores would be absurd here. Now since serious people are pushing this paper, it's quite likely that I'm missing something here, so I'll re-read, but at the very least this seems like bad exposition.]]> have_read to_reread algorithmic_fairness color_me_skeptical via:multiple to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination matching in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c5132029450e/ [2301.07015] Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection 2023-05-01T20:37:24+00:00 https://arxiv.org/abs/2301.07015 cshalizi to:NB classifiers networked_life deceiving_us_has_become_an_industrial_process decision_trees to_teach:data-mining philip_k_dick_and_the_fake_humans_rules_everything_around_me https://pinboard.in/ https://pinboard.in/u:cshalizi/b:26709234aea1/ [2205.13026] Preference Dynamics Under Personalized Recommendations 2023-03-22T03:02:55+00:00 https://arxiv.org/abs/2205.13026 cshalizi polarization recommender_systems low-regret_learning to_teach:data-mining in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:228777ce0410/ [2206.13102] Modeling Content Creator Incentives on Algorithm-Curated Platforms 2023-03-22T02:57:24+00:00 https://arxiv.org/abs/2206.13102 cshalizi game_theory recommender_systems re:actually-dr-internet-is-the-name-of-the-monsters-creator jordan.michael_i. to_teach:data-mining social_media networked_life philip_k_dick_and_the_fake_humans_rules_everything_around_me in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:73a5583bf609/ Inside the Suspicion Machine | WIRED 2023-03-21T15:43:38+00:00 https://www.wired.com/story/welfare-state-algorithms/ cshalizi classifiers risk_assessment welfare_state algorithmic_fairness have_read to_teach:data-mining track_down_references bad_data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:102b2cb016b2/ [2206.02667] Multi-learner risk reduction under endogenous participation dynamics 2023-03-18T14:35:55+00:00 https://arxiv.org/abs/2206.02667 cshalizi to:NB algorithmic_fairness machine_learning recommender_systems to_read to_teach:data-mining distributed_systems re:actually-dr-internet-is-the-name-of-the-monsters-creator social_life_of_the_mind re:democratic_cognition diversity https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ae99da06e897/ The Moral Economy of High-Tech Modernism | American Academy of Arts and Sciences 2023-03-07T16:04:22+00:00 https://www.amacad.org/publication/moral-economy-high-tech-modernism cshalizi have_read kith_and_kin farrell.henry political_philosophy networked_life in_NB to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2865aef699d1/ Leveling with Lagrange: An Alternate View of Constrained Optimization on JSTOR 2022-12-29T03:50:50+00:00 https://www.jstor.org/stable/27765899#metadata_info_tab_contents cshalizi to_teach:data-mining optimization have_read lagrange_multipliers https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8bc5a2b74eb5/ Galactica: the AI knowledge base that makes stuff up 2022-12-28T04:48:04+00:00 https://www.aiweirdness.com/galactica/ cshalizi neural_networks natural_language_processing utter_stupidity to_teach:data-mining large_language_models_(so_called) in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:0e7642f03a88/ [2201.07203] Emergent Instabilities in Algorithmic Feedback Loops 2022-12-02T16:01:14+00:00 https://arxiv.org/abs/2201.07203 cshalizi recommender_systems re:actually-dr-internet-is-the-name-of-the-monsters-creator lerman.kristina via:? to_teach:data-mining to_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cad25f273fb9/ [2208.08489] Understanding Scaling Laws for Recommendation Models 2022-09-03T19:30:05+00:00 https://arxiv.org/abs/2208.08489 cshalizi recommender_systems to_teach:data-mining your_favorite_deep_neural_network_sucks in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4cf0f6d5f5f3/ Spirals of Delusion: How AI Distorts Decision-Making and Makes Dictators More Dangerous 2022-08-31T21:56:27+00:00 https://www.foreignaffairs.com/world/spirals-delusion-artificial-intelligence-decision-making cshalizihave_read in_NB data_mining algorithmic_fairness kith_and_kin farrell.henry to_teach:data-mining re:democratic_cognition seeing_like_a_finite_state_machine https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bf239783c563/ [2207.08815] Why do tree-based models still outperform deep learning on tabular data? 2022-08-25T16:03:35+00:00 https://arxiv.org/abs/2207.08815 cshalizi to:NB to_read your_favorite_deep_neural_network_sucks ensemble_methods decision_trees to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2b5e2a0c03ab/ How China Is Policing the Future - The New York Times 2022-07-22T14:57:34+00:00 https://www.nytimes.com/2022/06/25/technology/china-surveillance-police.html cshalizi have_read to_teach:data-mining seeing_like_a_finite_state_machine surveillance china:prc prediction data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b19320bc850b/ Inherent Tradeoffs in Learning Fair Representations 2022-07-19T14:03:30+00:00 https://jmlr.org/papers/v23/21-1427.html cshalizi in_NB algorithmic_fairness classifiers gordon.geoffrey to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8e8eb5d2fc4d/ Model Averaging Is Asymptotically Better Than Model Selection For Prediction 2022-07-19T13:59:00+00:00 https://jmlr.org/papers/v23/20-874.html cshalizi in_NB model_selection ensemble_methods regression to_teach:data-mining to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9781f6f1983c/ Testimony before the Senate Subcommittee on Communications, Media, and Broadband Hearing of December 9th, 2021 Algorithmic transparency and assessing effects of algorithmic ranking (Dean Eckles) 2022-07-11T02:00:52+00:00 https://www.commerce.senate.gov/services/files/62102355-DC26-4909-BF90-8FB068145F18 cshalizi to_read eckles.dean social_media recommender_systems to_teach:data-mining re:actually-dr-internet-is-the-name-of-the-monsters-creator via:henry_farrell https://pinboard.in/ https://pinboard.in/u:cshalizi/b:687a063d5c63/ [1906.04493] Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991) 2022-07-08T13:40:00+00:00 https://arxiv.org/abs/1906.04493 cshalizi neural_networks generative_adversarial_networks your_favorite_deep_neural_network_sucks to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:107a922bade3/ My Stepdad’s Huge Data Set 2022-07-03T04:11:52+00:00 https://logicmag.io/play/my-stepdad's-huge-data-set/ cshalizi have_read pr0n advertising data_mining epidemiology_of_representations practices_relating_to_the_transmission_of_genetic_information to_teach:data-mining sfw https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9a15a8940499/ How China Is Policing the Future - The New York Times 2022-06-28T18:24:38+00:00 https://www.nytimes.com/2022/06/25/technology/china-surveillance-police.html?action=click&module=Well&pgtype=Homepage&section=Business cshalizisurveillance data_mining prediction china:prc to_teach:data-mining police https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a70ccc43e029/ Interview with a squirrel 2022-06-25T17:21:21+00:00 https://www.aiweirdness.com/interview-with-a-squirrel/ cshalizifunny:geeky funny:malicious artificial_intelligence philip_k_dick_and_the_fake_humans_rules_everything_around_me text_mining natural_language_processing to_teach:data-mining via:? https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ef35cd9c4100/ The Impact of Incarceration on Recidivism | Annual Review of Criminology 2022-06-09T07:54:01+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-criminol-030920-112506 cshalizi to:NB crime causal_inference to_teach:data-mining to_teach:statistics_of_inequality_and_discrimination nagin.daniel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f5c024c3bf2d/ [2205.03009] Watching the watchers: bias and vulnerability in remote proctoring software 2022-05-23T15:01:27+00:00 https://arxiv.org/abs/2205.03009 cshalizi to:NB pattern_recognition classifiers algorithmic_fairness to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:697655fc032e/ Estimating the success of re-identifications in incomplete datasets using generative models | Nature Communications 2022-04-13T03:01:09+00:00 https://www.nature.com/articles/s41467-019-10933-3/ cshalizi to:NB privacy data_mining to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6a95196c6bc1/ [2203.06498] The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning 2022-03-31T23:35:44+00:00 https://arxiv.org/abs/2203.06498 cshalizidata_analysis bad_data_analysis psychology data_mining gelman.andrew to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6c960a97eea4/ Model Averaging Is Asymptotically Better Than Model Selection For Prediction 2022-03-27T15:53:13+00:00 https://www.jmlr.org/papers/v23/20-874.html cshalizi to:NB ensemble_methods regression to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5b7a2e7ec1aa/ [2201.10408] Beyond the Frontier: Fairness Without Accuracy Loss 2022-03-14T18:12:52+00:00 https://arxiv.org/abs/2201.10408 cshalizi algorithmic_fairness learning_theory roth.aaron to_teach:data-mining kearns.michael in_NB blogged https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a6689f803747/ A data-driven approach to predict the success of bank telemarketing - ScienceDirect 2022-03-12T13:25:01+00:00 https://www.sciencedirect.com/science/article/pii/S016792361400061X?casa_token=8mKjKuwIF58AAAAA:DjRmaJuDoBZjjHb2kA3iEoCckvybsakE7Ww6qdBRABxULXlOuE8FIvmSbgMgYO0ZwLasjyow cshalizi data_mining marketing to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3c63a5c22abb/ UCI Machine Learning Repository: Bank Marketing Data Set 2022-03-12T13:20:21+00:00 https://archive.ics.uci.edu/ml/datasets/Bank+Marketing cshalizi data_sets to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:00f7ce3b643a/ Who Is Behind QAnon? Linguistic Detectives Find Fingerprints - The New York Times 2022-02-27T03:28:42+00:00 https://www.nytimes.com/2022/02/19/technology/qanon-messages-authors.html cshalizi qanon conspiracy_theories psychoceramics stylometrics text_mining natural_language_processing classifiers to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cf3f4ef95f36/ Street–Level Algorithms: A Theory at the Gaps Between Policy and Decisions 2022-02-26T19:03:55+00:00 https://hci.stanford.edu/publications/2019/streetlevelalgorithms/streetlevelalgorithms-chi2019.pdf cshalizi via:henry_farrell classifiers algorithmic_fairness to_teach:data-mining decision-making bureaucracy have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4aa7f6ce05aa/ Experiments of the Mind | Princeton University Press 2022-02-05T21:05:34+00:00 https://press.princeton.edu/books/paperback/9780691177311/experiments-of-the-mind cshalizibooks:noted to_teach:data-mining downloaded https://pinboard.in/ https://pinboard.in/u:cshalizi/b:eb137eaf7346/ Algorithmic monoculture and social welfare | PNAS 2022-02-01T15:21:45+00:00 https://www.pnas.org/content/118/22/e2018340118 cshalizi to:NB to_read kleinberg.jon diversity algorithmic_fairness via:? to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:28f02d0bd157/ [2104.04103] Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters 2022-01-24T17:27:24+00:00 https://arxiv.org/abs/2104.04103 cshalizi causal_inference decision-making via:vaguery to_teach:data-mining provost.foster have_read blogged in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4546e3e7d5f3/ Computer Scientists Discover Limits of Major Research Algorithm | Quanta Magazine 2021-12-13T06:49:36+00:00 https://www.quantamagazine.org/computer-scientists-discover-limits-of-major-research-algorithm-20210817/ cshalizi optimization popular_science to_teach:data-mining have_read to_teach:childs_garden_of_statistical_learning_theory https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c65c29d817a3/ Here’s how Facebook’s algorithm works - Washington Post 2021-10-27T13:52:30+00:00 https://www.washingtonpost.com/technology/interactive/2021/how-facebook-algorithm-works?no_nav=true cshalizito_teach:data-mining recommender_systems social_media re:actually-dr-internet-is-the-name-of-the-monsters-creator https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ddda55fbd673/ Examining the consumption of radical content on YouTube | PNAS 2021-08-12T00:29:29+00:00 https://www.pnas.org/content/118/32/e2101967118.short cshalizi to:NB to_read re:actually-dr-internet-is-the-name-of-the-monsters-creator recommender_systems to_teach:data-mining kith_and_kin clauset.aaron watts.duncan https://pinboard.in/ https://pinboard.in/u:cshalizi/b:d6a1015a7bb5/ The Society of Algorithms | Annual Review of Sociology 2021-08-03T04:35:55+00:00 https://www.annualreviews.org/doi/abs/10.1146/annurev-soc-090820-020800 cshalizi to:NB data_mining networked_life to_teach:data-mining fourcade.marion https://pinboard.in/ https://pinboard.in/u:cshalizi/b:08a0ff6c918b/ We tested AI interview tools. Here’s what we found. | MIT Technology Review 2021-07-26T15:07:26+00:00 https://www.technologyreview.com/2021/07/07/1027916/we-tested-ai-interview-tools/?_hsmi=140522126&_hsenc=p2ANqtz-8vjTOrf7wPGyBHzGvNM6HAsRT9_ivd6OAndeGlgd7q_DeKQzL8wzhIWUxeUBctrU37fL6-4CUvXLmfyBLOvUsDCnCCddi0lNRwTMkkbRP71Z9mu90 cshalizi to_teach:data-mining utter_stupidity via:yorksranter bad_data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7a8fd8909696/ Inside Palantir, Silicon Valley’s Most Secretive Unicorn 2021-07-15T17:49:26+00:00 https://nymag.com/intelligencer/2020/09/inside-palantir-technologies-peter-thiel-alex-karp.html cshalizi data_mining national_surveillance_state to_teach:data-mining have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a0a558670d10/ Systematic misestimation of machine learning performance in neuroimaging studies of depression | Neuropsychopharmacology 2021-06-11T18:03:12+00:00 https://www.nature.com/articles/s41386-021-01020-7 cshalizi to:NB neural_data_analysis statistics classifiers to_teach:data-mining re:neutral_model_of_inquiry data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a31d8ee83a33/ What's the Difference Between a Geek and a Nerd? Not Much, According to the Data - Big Think 2021-06-04T04:01:37+00:00 https://bigthink.com/laurie-vazquez/are-you-a-geek-or-a-nerd cshalizitext_mining geekdom nerdworld to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:17d81b4fb072/ Phrenology, insurance claims, and digital gaydar - doxa 2021-06-04T03:34:23+00:00 https://doxa.substack.com/p/phrenology-insurance-claims-and-digital?token=eyJ1c2VyX2lkIjozMTk2MjUwOSwicG9zdF9pZCI6MzcxODg4MDYsIl8iOiI5RlR3eiIsImlhdCI6MTYyMjc3NzYxOSwiZXhwIjoxNjIyNzgxMjE5LCJpc3MiOiJwdWItMjM5NjUzIiwic3ViIjoicG9zdC1yZWFjdGlvbiJ9.r6AUl5BSCgCU4aMl6zL1Pt8xcC3cnNU5E7J6LDGlQbs cshaliziclassifiers algorithmic_fairness to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:903e4f804855/ [2105.09065] Statistical Learning for Best Practices in Tattoo Removal 2021-05-20T21:22:32+00:00 https://arxiv.org/abs/2105.09065 cshalizi to:NB statistics tattoos to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:182f73b992e8/ AMF: Aggregated Mondrian forests for online learning - Mourtada - - Journal of the Royal Statistical Society: Series B (Statistical Methodology) - Wiley Online Library 2021-05-20T13:53:05+00:00 https://doi.org/10.1111/rssb.12425 cshalizi to:NB to_read ensemble_methods random_forests regression classifiers to_teach:data-mining online_learning statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:42bd56d40bd2/ AI Adoption and System-Wide Change | NBER 2021-05-17T14:40:30+00:00 https://www.nber.org/papers/w28811 cshalizi to:NB economics data_mining to_teach:data-mining organizations https://pinboard.in/ https://pinboard.in/u:cshalizi/b:29d9f6d466a9/ The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing | Raj Venkatesan and Jim Lecinski 2021-05-17T13:01:26+00:00 https://www.sup.org/books/title/?id=32597 cshalizi in_NB books:noted marketing data_mining deceiving_us_has_become_an_industrial_process to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:be76d8874382/ [2105.04648] Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations 2021-05-12T18:29:05+00:00 https://arxiv.org/abs/2105.04648 cshalizi prediction classifiers algorithmic_fairness smyth.padhraic to_teach:data-mining in_NB re:codename:one_law_for_the_lion_and_ox_is_oppression https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9778e5e6bcab/ [2105.04134] Bagging cross-validated bandwidth selection in nonparametric regression estimation with applications to large-sized samples 2021-05-12T18:15:40+00:00 https://arxiv.org/abs/2105.04134 cshalizi to:NB cross-validation ensemble_methods bootstrap to_teach:data-mining kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f2a3494ec6a3/ The 11th Reason to Delete your Social Media Account: the Algorithm will Find You – Axiom of Chance 2021-05-03T19:56:22+00:00 http://simondedeo.com/?p=705 cshalizinetworked_life moral_psychology recommender_systems kith_and_kin dedeo.simon have_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:63530f9ce085/ Netflix Recommends by Mattias Frey - Paperback - University of California Press 2021-05-02T12:41:49+00:00 https://www.ucpress.edu/book/9780520382046/netflix-recommends cshalizi to:NB books:noted recommender_systems to_teach:data-mining books:in_library books:have_suggested_to_library https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cab062a9cab3/ [2003.00381] Statistical power for cluster analysis 2021-04-22T15:32:01+00:00 https://arxiv.org/abs/2003.00381 cshalizi to:NB clustering to_teach:data-mining color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6df8375fa239/