Category: BestLinks

BestLinks

Best links of the week #81

Reading time: 2 minutes

Best links of the week from 12th October to 18th October

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Five whys by Sakichi Toyoda at Wikipedia.
  2. Audiobook of The Last Question (Audio in English, subtitles in Portuguese) by Isaac Asimov at Vinícius Ribeiro’s YouTube channel.
  3. Introdução às Séries Temporais at Prof. Victor Davila’s personal page.
  4. Modelos Lineares Não-Estacionários at Prof. Hedibert Lopes’ personal page.
BestLinks

Best links of the week #79

Reading time: 2 minutes

Best links of the week from 14th September to 27th September

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Painel de análise do excesso de mortalidade por causas naturais no Brasil em 2020 at CONASS.
  2. iDiscover.
  3. Several dashboards related to COVID19 in Brazil by IBGE.
  4. Divulgação de Candidaturas e Contas Eleitorais.
  5. The Cognitive Bias Index at WikiMedia.
  6. Loki’s Wager and The Merchant of Venice at Wikipedia.
  7. GAN School by Junior Koch.
  8. Fato ou Fake COVID-19.
BestLinks, Causality, Data Science

Best links of the week #78

Reading time: < 1 minute

Best links of the week from 7th September to 13th September

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. What are the various scenarios where we get a negative R squared in a (linear) regression model? at Quora.

Blog posts

  1. Quem seguir para acompanhar Machine Learning e AI no Twitter? at Machina Economicus.
  2. Now Nubank’s Data Scientists have their own values at Nubank.
  3. Resumo de livro: “Mostly Harmless Econometrics”, cap 1 e 2 at Machina Economicus.
  4. Causal Inference Part I: Simpson’s Paradox at Data for Science’s Medium.
  5. Causal Inference Part II: Probability Theory at Data for Science’s Medium.
  6. Causal Inference Part III: Graphs at Data for Science’s Medium.
  7. Causal Inference Part IV: Structural Causal Models at Data for Science’s Medium.
  8. Causal Inference Part V: Chains, and Forks at Data for Science’s Medium.
  9. Causal Inference Part VI: Colliders at Data for Science’s Medium.
  10. Causal Inference Part VII: d-separation at Data for Science’s Medium.
  11. Computational Causal Inference at Netflix at Netflix TechBlog.

Videos

  1. Método Científico – Grandes Pensadores at A Ciência da Estatística‘s YouTube channel.
BestLinks, Causality, Data Science

Best links of the week #77

Reading time: 2 minutes

Best links of the week from 31st August to 6th September

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Guess the Correlation Game.
  2. dagitty: Graphical Analysis of Structural Causal Models (R package) at CRAN.
  3. What Is The Difference Between Nonlinear Mechanics And Chaos Theory? at Forbes.

Blog posts

  1. Probability concepts explained: Marginalisation at Towards Data Science.
  2. When the Fundamental Problem of Causal Inference Ain’t No Problem at Brady Neal’s Blog.
  3. Microsoft’s DoWhy is a Cool Framework for Causal Inference by Jesus Rodriguez at Data Series.
  4. 4 Reasons Why Data Scientists Should Version Data by Fabiana Clemente at The Startup‘s Medium.
  5. ‘Looping’ and ‘Branching’ with Pipes at David Ranzolin’s Blog.
  6. Bayes’ Theorem is Actually an Intuitive Fraction by Andre Ye at Towards Data Science.
  7. Using Xkcd to Make Density Plots at Arthur Rocha’s Blog.
  8. Solving the Birthday Paradox at Arthur Rocha’s Blog.
  9. Como analisar a eficiência dos seus algoritmos at Turing Talks’ Medium.
  10. Análise de Algoritmos de Machine Learning at Turing Talks’ Medium.
  11. Modelos de Predição | Introdução à Predição at Turing Talk’s Medium.
  12. Modelos de Predição | Regressão Linear at Turing Talk’s Medium.
  13. Modelos de Predição | Decision Tree at Turing Talk’s Medium.
  14. Modelos de Predição | Random Forest at Turing Talk’s Medium.
  15. An Incredible Interactive Chart of Biblical Contradictions at Friendly Atheist.
  16. Tensorbook, a deep learning laptop at Data Science Rush.

Videos

  1. This is why you’re learning differential equations at Zach Star’s YouTube channel.
  2. Why people fall for misinformation by Joseph Isaac at TED-Ed.
  3. How statistics can be misleading by Mark Liddell at TED-Ed.
  4. QUE REINE O CAOS, MAS O QUE É O CAOS? ft. Fernando Lenarduzzi at Matemaníaca’s YouTube channel.
  5. Alguns pensadores que ajudaram a desenvolver a estatística at A Ciência da Estatística on YouTube Channel.
BestLinks, Causality, Data Science, R

Best links of the week #76

Reading time: 2 minutes

Best links of the week from 24th August to 30th August

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Difference-in-Difference Estimation at Columbia Public Health.
  2. Cluster Analysis Using K-Means at Columbia Public Health.
  3. Discrete Choice Analysis at Columbia Public Health.
  4. Exploratory Factor Analysis at Columbia Public Health.
  5. Instrumental Variables at Columbia Public Health.
  6. Spline Regression at Columbia Public Health.
  7. Principal Components Analysis at Columbia Public Health.
  8. Propensity Score at Columbia Public Health.
  9. Inverse Probability Weighting at Columbia Public Health.
  10. Path Analysis at Columbia Public Health.
  11. Probabilistic Sensitivity Analysis of Misclassification at Columbia Public Health.
  12. Markov Chain Monte Carlo at Columbia Public Health.
  13. Raio X dos Municípios.
  14. Correlation or causation? Mathematics can finally give us an answer at NewScientist.
  15. A new kind of logic: How to upgrade the way we think at NewScientist.
  16. An Unpredictable Universe: A Deep Dive Into Chaos Theory at Space.
  17. Introduction to Causal Inference Course by Brady Neal.

Blog posts

  1. Data versus Science: Contesting the Soul of Data-Science at Causal Analysis in Theory and Practice.
  2. Race, COVID Mortality, and Simpson’s Paradox at Causal Analysis in Theory and Practice.
  3. What Statisticians Want to Know about Causal Inference and The Book of Why at Causal Analysis in Theory and Practice.

Videos

  1. The Science Behind the Butterfly Effect at Veritasium.
BestLinks, Causality, Data Science, R, tools

Best links of the week #75

Reading time: 2 minutes

Best links of the week from 18th August to 23th August

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Facebook cria IA que acelera em 4 vezes exames de ressonância magnética at Olhar Digital.
  2. Quasi experiment at Wikipedia.
  3. Internal validity at Wikipedia.
  4. External validity at Wikipedia.
  5. cmx.js – a library for authoring xkcd-style comixes.
  6. Create your own xkcd-style comics using HTML markup.

Blog posts

  1. GPT-3 Has No Idea What It Is Saying by Steve Shwartz at Towards Data Science.
  2. Mathematics: An essential skill for aspiring data science professional! at Mark Taylor‘s Medium.
  3. tidyverse-tips at Olivier Gimenez‘s Blog.

Videos

  1. Causal Inference – Part I by Susan Athey at SMILES’s YouTube channel.
  2. Causal Inference – Part II by Susan Athey at SMILES’s YouTube channel.
  3. Causality by Kun Zhang at SMILES’s YouTube channel.
  4. Learning Theory by Ruth Urner at SMILES’s YouTube channel.
  5. Technical obstacles to ML implementation in healthcare by Anna Goldenberg at SMILES’s YouTube channel.
  6. Causality and Increasing Model Reliability by Suchi Saria at SMILES’s YouTube channel.
  7. Quasi-Experimental Designs at Onderzoeksmethoden UvA‘s YouTube channel.
  8. Regression Discontinuity Analysis at Onderzoeksmethoden UvA‘s YouTube channel.
  9. Identification Strategies, Part 1: How Economists Establish Causality at Ashley Hodgson‘s YouTube channel.
  10. Identification, Part 2: Regression Discontinuity at Ashley Hodgson‘s YouTube channel.
  11. Identification, Part 3: Instrumental Variables at Ashley Hodgson‘s YouTube channel.
  12. Identification, Part 4: Differences-in-differences / Natural Experiment at Ashley Hodgson‘s YouTube channel.
  13. An intuitive introduction to Regression Discontinuity at Doug McKee‘s YouTube channel.
  14. Regression Discontinuity: Looking at People on the Edge (Causal Inference Bootcamp) at Mod•U: Powerful Concepts in Social Science‘s YouTube channel.
  15. Noncompliance in Experiments (Causal Inference Bootcamp) at Mod•U: Powerful Concepts in Social Science‘s YouTube channel.
  16. Discrete Choice Analysis (Causal Inference Bootcamp) at Mod•U: Powerful Concepts in Social Science‘s YouTube channel.
  17. Confounders in Discrete Choice Analysis (Causal Inference Bootcamp) at Mod•U: Powerful Concepts in Social Science‘s YouTube channel.
  18. An intuitive introduction to Difference-in-Differences at Doug McKee‘s YouTube channel.
  19. Types of Experimental Designs at Simple Learning Pro‘s YouTube channel.
  20. The Effects of Outliers and Extrapolation on Regression (2.4) at Simple Learning Pro‘s YouTube channel.
  21. Density Curves and their Properties (5.1) at Simple Learning Pro‘s YouTube channel.
  22. MLOps Tutorial #4: GitHub Actions with your own GPUs at DVCorg‘s YouTube channel.
BestLinks

Best links of the week #73

Reading time: 2 minutes

Best links of the week from 6th July to 19th July

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Left-hand & right-hand side nomenclature in regression models at Cross Validated.
  2. Scientists invite 4,000 music fans to a live concert to assess spread of coronavirus at Classic FM.
  3. Solicitando dados via lei de acesso a informação at Escola de Dados.
  4. Doctor Penguin: Catch the Latest AI+Healthcare Research.
  5. R Weekly.

Blog posts

  1. The Difference between Linear and Nonlinear Regression Models at Statistics By Jim.
  2. Multicollinearity in Regression Analysis: Problems, Detection, and Solutions at Statistics By Jim.
  3. How To Interpret R-squared in Regression Analysis at Statistics By Jim.
  4. Check Your Residual Plots to Ensure Trustworthy Regression Results! at Statistics By Jim.
  5. Standard Error of the Regression vs. R-squared at Statistics By Jim.
  6. R-squared Is Not Valid for Nonlinear Regression at Statistics By Jim.
  7. How to Choose Between Linear and Nonlinear Regression at Statistics By Jim.
  8. Heteroscedasticity in Regression Analysis at Statistics By Jim.
BestLinks

Best links of the week #72

Reading time: 2 minutes

Best links of the week from 15th June to 5th July

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Os 11 melhores canais de Data Science no Telegram at Insight.
  2. Prove Your Grit in our Competitions at bitgrit.
  3. Confounding in epidemiological studies at Health Knowledge.
  4. Cochran–Mantel–Haenszel statistics at Wikipedia.
  5. University and college students, learn for free with Coursera!
  6. Determine the most significant overlap between subsets of two or three sorted lists with DynaVenn.
  7. Scholarly Community Encyclopedia.
  8. Category mistake at Wikipedia.
  9. Black swan theory at Wikipedia.
  10. Hindsight bias at Wikipedia.
  11. Cochran–Mantel–Haenszel statistics at Wikipedia.
  12. Pareidolia e Apofenia at Wikipedia.
  13. Levenshtein distance at Wikipedia.
  14. A periodic table of visualization methods at Visual Literacy.
  15. Why It’s Hard to Evaluate State Policies in the Pandemic at Penn LDI.

Blog posts

  1. A Gentle Introduction to Concept Drift in Machine Learning at Machine Learning Mastery.
  2. What is the difference between Bagging and Boosting? at QuantDare.
  3. A PRIMER TO ENSEMBLE LEARNING – BAGGING AND BOOSTING at Analytics India Mag
  4. O modelo de #SquadGoals do Spotify falhou. at Flavio Clesio’s Blog.
  5. That one weird third variable problem nobody ever mentions: Conditioning on a collider at the 100 CI.
  6. Why Statistics Don’t Capture The Full Extent Of The Systemic Bias In Policing at Five Thirty Eight.
  7. Why Is the Average Human Body Temperature Decreasing? at Science and Philosophy’s Medium.
  8. CITAÇÃO DE CITAÇÃO SEGUNDO AS REGRAS ABNT: ACABE COM SUAS DÚVIDAS! at Blog PPEC.
  9. FAPESP cria repositório de informações clínicas para subsidiar pesquisas sobre COVID-19 at Agência FAPESP.

Videos

  1. The Super Mario Effect – Tricking Your Brain into Learning More by Mark Rober at TEDx Talks’ YouTube channel.
  2. Por que a concorrência abre suas lojas perto das outras? at TED-Ed’s YouTube channel.

Podcast

  1. Causalidade na saúde at Dados e Saúde.
BestLinks

Best links of the week #70

Reading time: 2 minutes

Best links of the week from 18th May to 7th June

This image has an empty alt attribute; its file name is meme-1.jpg

Links

  1. Here are 450 Ivy League courses you can take online right now for free at FreeCodeCamp.
  2. Our weird behavior during the pandemic is messing with AI models at MIT Technology Review.
  3. microdatasus Python Package.
  4. Meet xaringan: Making slides in R Markdown by Alison Hill at Advanced R Markdown Workshop.
  5. How to Make Slides in R by Zhi Yang.
  6. Recall bias at Wikipedia.
  7. Confidence Interval cartoon at xkcd.

Blog posts

  1. Machine Learning is too easy at John Langford’s Blog.
  2. Naive Bayes for Dummies; A Simple Explanation at Data Science Central.
  3. Support Vector Machines for dummies; A Simple Explanation at Aylien’s Blog.
  4. Everything You Wanted to Know about the Kernel Trick (But Were Too Afraid to Ask) at Eric Kim’s Blog.
  5. Machina Machinae Lupus est? at Portal Deviante.

Videos

  1. Ten Craziest Things Cells Do by Wallace Marshall at iBiology’s YouTube channel.
  2. O mundo a partir do coronavírus, ed. 09 | Modelos computacionais e isolamento social social at Academia Brasileira de Ciências.