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Best links of the week from September 2nd to November, 11th.

Links

1. Creative Thinking by Claude Shannon at Yousouf Naderi’s website.
2. Latin Square Analysis of Variance at StatsDirect.
3. BAYESIAN NETWORKS AND THE SEARCH FOR CAUSALITY at Ricardo Silva’s website.
4. Triadic closure at Wikipedia.
5. Balance theory at Wikipedia.
6. The 5-Day Regression Challenge by Rachael Tatman at Kaggle.
7. The 5-Day Data Challenge by Rachael Tatman at Kaggle.
8. Intro to Machine Learning at Kaggle Courses.
9. Intermediate Machine Learning at Kaggle Courses.
10. Feature Engineering at Kaggle Courses.
11. Data Cleaning at Kaggle Courses.
12. Machine Learning Explainability at Kaggle Courses.
13. Fun, beginner-friendly datasets at Kaggle.
14. Datasets for regression analysis at Kaggle.
15. Yann LeCun’s Deep Learning Course at CDS.

Blog posts

1. Invariance, Causality, and Robust Deep Learning by Urwa Muaz at Towards Data Science.
2. Why assholes are more likely to be wrong at Hugo Mercier’s Blog.
3. Understanding Bias: A Pre-requisite For Trustworthy Results at Adam Kelleher‘s Medium blog.
4. Speed vs. Accuracy: When is Correlation Enough? When Do You Need Causation? at Adam Kelleher‘s Medium blog.
5. Causal Graph Inference at Adam Kelleher‘s Medium blog.
6. A Technical Primer On Causality at Adam Kelleher‘s Medium blog.
7. How do you correct selection bias? at Adam Kelleher‘s Medium blog.
8. Machine Learning PhD Applications — Everything You Need to Know at Tim Dettmers‘s Blog.
9. Graduate School Personal Statement at MIT EECS Communication Lab.
10. Tips on applying to a MS or a PhD at Stanford University.
11. Questions to Ask a Prospective Ph.D. Advisor on Visit Day, With Thorough and Forthright Explanations at at ML CMU Blog.
12. Intuitive Understanding of Batch Normalization at Gautham Kumaran‘s Blog.
13. Into the Wild: Machine Learning In Non-Euclidean Spaces at Stanford DAWN.
14. Quando seus resultados não são significativos: um caso para teste de equivalência at Rafael Valdece Sousa Bastos‘s Medium.
15. The validity of psychological and educational tests by Rafael Valdece Sousa Bastos at Towards Data Science.
16. Establishing Causality: Part 1 by Michał OleszakSep at Towards Data Science.
17. Establishing Causality: Part 2 by Michał OleszakSep at Towards Data Science.
18. Introducing Distance Correlation, a Superior Correlation Metric by Terence Shin at Towards Data Science.
19. A Deep Conceptual Guide to Mutual Information by Sean McClure at Start It Up.
20. Information Theory: A Gentle Introduction by Douglas Hamilton at Towards Data Science.
21. Mutual Information: Prediction as Imitation by Douglas Hamilton at Towards Data Science.
22. Information Theory: Principles and Apostasy by Douglas Hamilton at Towards Data Science.
23. Collection of Do Calculus proofs–now comes equipped with backdoor, frontdoor and napkin at Quantum Bayesian Networks.
24. Before Probability Distributions by Diego Lopez Yse at Towards Data Science.
25. Probability concepts explained: Maximum likelihood estimation by Jonny Brooks-Bartlett at Towards Data Science.
26. My reviews on Machine Learning, Data Science and Statistics books at Merve Noyan‘s blog.
27. An Introduction to Directed Acyclic Graphs (DAGs) for Data Scientists by Dean Pleban at DAGsHub‘s Blog.

Positions available

1. Postdoc/research scientist/technical staff position at RIKEN AIP.
2. Postdoctoral Scholar at Vision and Learning Lab (UC Merced).
3. Research internship opportunities at AKASA.
4. Lectureship in Statistics at Lancaster University.
5. Tenure-track faculty positions in computer and communication sciences at EPFL.
6. Postdoctoral position in ML and Optimization at CISPA.
7. PhD scholarship in the intersection optimization-learning-optimal control at WIAS.
8. Postdoctoral position in the intersection optimization-learning-optimal control at WIAS.
9. PhD internships in ML and Statistics at Microsoft Research New England.
10. Engenheiro de Dados at EnsineMe.
11. Analytics | Analista de Dados Sênior at flash.
12. Data Scientist at Coodash.
13. Analista de Machine Learning | Remoto at CyberLabs.
14. Engenheiro(a) Sênior de MLOps at CyberLabs.
15. Analytics Engineer at Escale.
16. Lead Data Scientist at Quanto.
17. Data Engineer at Legiti.
18. Machine Learning Engineer at Legiti.
19. Analista de Dados em Machine Learning Sênior at GupyTech.
20. Cientista de Dados Staff at GupyTech.
21. Pessoa Engenheira de Dados at Z1.
22. Cientista de Dados at Fóton Informática.
23. Gerente de Arquitetura e Dados at Hprojekt.