Issue #153

May 1, 2022

This weeks Data Science Book is " Bayes' Rule: A Tutorial Introduction to Bayesian Analysis " by J. V. Stone. Despite its simplicity Bayes Rule is one of the most power theorems in probability theory. This relatively short book (170 pages) provides a nice overview and hands on introduction to Bayesian analysis. While the main text provides a strong foundation to the main ideas and concepts, the companion Python code gives you a leg up in introducing these techniques into your daily work. Overall, an excellent first introduction to the topic and a good refresher reference if you haven't touched this area in some time.

Bayes' Rule: A Tutorial Introduction to Bayesian Analysis

1. 5 Powerful Study Tips From Richard Feynman [piggsboson.medium.com]
2. Creating Confidence Intervals for Machine Learning Classifiers [sebastianraschka.com]
3. How I Got a Computer Science Degree in 3 Months for Less Than $5000 [miguelrochefort.com]
4. Against Bayesianism [josephnoelwalker.com]
5. It Took Me 10 Years to Understand Entropy, Here is What I Learned [cantorsparadise.com]
6. 3 Python Packages that will change Data Science [medium.com/trymito]
7. Python GroupBy Tricks [medium.com/codex]
8. All Roads Lead to Rome: The Machine Learning Job Market in 2022 [evjang.com]

• Smart cities and citizen engagement: Evidence from Twitter data analysis on Italian municipalities (S. Blasia, E. Gobbo, S. R. Sedita)
• Quantifying daily rhythms with non-negative matrix factorization applied to mobile phone data (T. Aledavood, I. Kivimäki, S. Lehmann, J. Saramäki)
• Can brain scans reveal behaviour? Bombshell study says not yet (E. Callaway)
• Reinforced Causal Explainer for Graph Neural Networks (X. Wang, Y. Wu, A. Zhang, F. Feng, X. He, T.-S. Chua)
• Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training (Z. Bian, H. Liu, B. Wang, H. Huang, Y. Li, C. Wang, F. Cui, Y. You)
• Maximum Flow and Minimum-Cost Flow in Almost-Linear Time (L. Chen, R. Kyng, Y. P. Liu, R. Peng, M. P. Gutenberg, S. Sachdeva)
• TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction (M. Zhou, B. Li, M. Yang, L. Pan)

Intro to GraphQL for Data Scientists

May 1, 2022

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