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Best links of the week from August 2nd to September 21st

Links

1. Maximum Likelihood Estimates by Jeremy Orloff and Jonathan Bloom.
2. Moravec’s paradox at Wikipedia.
3. Parrondo’s paradox at Wikipedia.
4. R-squared Cautions at STAT 462 (Applied Regression Analysis), PennState University.
5. Spearman’s correlation.
6. CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning at Microsoft Research Blog.
7. The Most Dangerous Equation at American Scientist. More here and here.
8. One day course on causal inference, MPI-EVA 9 September 2021 at Richard McElreath‘s GitHub.
9. The cost of dichotomising continuous variables, published in BMJ, at PubMed Central.
10. How Computationally Complex Is a Single Neuron? at QuantaMagazine.
11. Focus on Peer Review Course at Nature Masterclasses.

Blog posts

1. What Is TF-IDF? at MonkeyLearn.
2. The Beginner’s Guide to Text Vectorization at MonkeyLearn.
3. Naive Bayes and Text Classification at Sebastian Raschka.
4. Neural Network: Architecture, Components & Top Algorithms at UpGrad.
5. Why Initialize a Neural Network with Random Weights? at Machine Learning Mastery.
6. Hacks, IA’s e manipulação humana at Portal Deviante.
7. Neural Network Models in R at DataCamp Tutorial.
8. Demystifying Mathematical Concepts for Deep Learning at DataCamp Tutorial.
9. Deduce the Number of Layers and Neurons for ANN at DataCamp Tutorial.
10. A Gentle Introduction to Exploding Gradients in Neural Networks at Machine Learning Mastery.
11. How to Fix the Vanishing Gradients Problem Using the ReLU at Machine Learning Mastery.
12. A Gentle Introduction to the Rectified Linear Unit (ReLU) at Machine Learning Mastery.
13. The New Base Pipe at MyKo101.
14. ETL vs ELT Explained at The Grouparoo Blog.
15. The Mathematics Behind Deep Learning by Trist’n Joseph at Towards Data Science.
16. The Unreasonable Ineffectiveness of Deep Learning on Tabular Data by Paul Tune at Towards Data Science.
17. SHAP Values Explained Exactly How You Wished Someone Explained to You by Samuele Mazzanti at Towards Data Science.
18. Black-Box models are actually more explainable than a Logistic Regression by Samuele Mazzanti at Towards Data Science.
19. Increasing developer happiness with GitHub code scanning at GitHub blog.
20. What can Avengers: Endgame teach us about Git? at Lj Miranda‘s Blog.

Videos

1. StatQuest: Maximum Likelihood, clearly explained!!! at StatQuest with Josh Starmer.
2. Maximum Likelihood for the Exponential Distribution, Clearly Explained! V2.0 at StatQuest with Josh Starmer.
3. Maximum Likelihood for the Binomial Distribution, Clearly Explained!!! at StatQuest with Josh Starmer.
4. Parte 1 – Regressão Linear – É a sua chance! Agora ou nunca! – Prof. Adriana Silva at EstaTiDados.
5. Parte 2 – Regressão Linear – É a sua chance! Agora ou nunca! – Prof. Adriana Silva at EstaTiDados.
6. Parte 3 – Regressão Logística – É a sua chance! Agora ou nunca! – Prof. Adriana Silva at EstaTiDados.
7. Estreia da Série Teoria de Conjuntos para Estatística – Teoria de conjuntos #1 at A Ciência da Estatística.
8. Axiomas da EXTENSÃO e da ESPECIFICAÇÃO (Pertencimento, Igualdade e Inclusão) -Teoria de Conjuntos #2 at A Ciência da Estatística.
9. Axiomas do PAR e da UNIÃO (união, interseção, diferença, Complementar) – Teoria de Conjuntos #3 at A Ciência da Estatística.
10. Axioma da POTÊNCIA (Conjuntos das partes, produtos cartesianos e relações) – Teoria de conjuntos #4 at A Ciência da Estatística.
11. FUNÇÕES injetoras, sobrejetoras e bijetoras (IMAGEM e IMAGEM INVERSA) – Teoria de conjuntos #5 at A Ciência da Estatística.
12. Cost Function in Neural Network | Types of Cost function we use in different applications at Coding Lane.
13. What is Activation function in Neural Network ? Types of Activation Function in Neural Network at Coding Lane.
14. Mas o que *é* uma Rede Neural? | Deep learning, capítulo 1 at 3Blue1Brown‘s YouTube channel.
15. Causal Discovery Part 1 by Bernhard Schölkopf at MLSS Africa’s YouTube channel.
16. Causal Discovery Part 2 by Bernhard Schölkopf at MLSS Africa’s YouTube channel.
17. Spearman’s Rank-Order Correlation at Laerd Statistics.
18. Spearman’s Rank-Order Correlation using SPSS Statistics at Laerd Statistics.
19. An Ode To R-Squared by Callum Ballard at Towads Data Science.
20. Spearman’s Rank Correlation part 1 at ECOHOLICS – Largest Platform for Economics.
21. Spearman’s Rank Correlation part 2 at ECOHOLICS – Largest Platform for Economics.
22. Spearman’s Rank Correlation part 3 at ECOHOLICS – Largest Platform for Economics.
23. Machine Learning Experiments with DVC (Hands-On Tutorial!) at DVCorg‘s YouTube channel.
24. Checkpoints at DVCorg‘s YouTube channel.
25. Experiments at DVCorg‘s YouTube channel.
26. Deep Learning Basics: Introduction and Overview at Lex Fridman‘s YouTube channel.

Positions available

1. PostDoc in Protein Biochemistry at MPI CBG.
2. PhD student in Computational Biology at MPI CBG.
3. Postdoctoral Position in Computational Biology at MPI CBG.
4. Postdoctoral Position in Cell Biology at MPI CBG.
5. PhD scholarship in “AI for electricity market design” at DTU.
6. Engineer R&D at SteelSeries.
7. Postdoctoral opportunity on (hierarchical) multi-agent reinforcement learning at Northeastern University.
8. Machine Learning Fairness Research PhD Intern at Tiktok.
9. Assistant Professor – Computational Linguistics at University of Toronto Scarborough.
10. Several postdoctoral research positions in Bayesian optimization and/or simulation-based optimization in Montreal.
11. Postdoc in Computer Vision/Deep Learning: video monitoring of insect pollinators at the University of Puerto Rico.
12. Open positions for AI professors at FHWS.
13. PhD scholarship in NLP at James Cook University.
14. Assistant Professor – AI at Iowa State University.
15. Open Postdoc Position Medical AI at Med Uni Graz.
16. Staff Data Scientist at FireEye.
17. Cientista de Dados | Big Data & AI at Grupo Globo.
18. Pessoa Engenheira de Dados | Big Data & AI at Grupo Globo.
19. Pessoa Engenheira de Machine Learning | Big Data & AI at Grupo Globo.
20. Analista de Dados Sênior at OLX.