Issue #112

July 4, 2021

This weeks Data Science Book is "Think Bayes (2nd Ed)" by Allen B. Downey. While Bayesian Statistics is a powerful tool in the toolbox of any Data Scientists, it is not the easiest of skills to learn if you are not mathematically inclined. In this book, Downey uses his down to earth, step by step style to make you proficient in the world of Bayesian Statistics by leveraging your pre-existing knowledge of Python instead of relying excessively on mathematical notation as most other books do. The book comes with a complete up-to-date GitHub repository so that you can more easily work your way through the example and cement your understanding of this important topic.

Think Bayes (2nd Ed)

1. Gaussian processes - From scratch [peterroelants.github.io]
2. The Computer Scientist Training AI to Think With Analogies [quantamagazine.org]
3. Python for Excel [xlwings.org]
4. How to calculate the alignment between BERT and spaCy tokens effectively and robustly [gist.github.com/tamuhey]
5. What are Diffusion Models? [lilianweng.github.io]
6. Machine-learning improves the prediction of stroke recovery [actu.epfl.ch]
7. Inserting One Billion Rows in SQLite Under A Minute [avi.im]

• Consciousness and the Laws of Physics (S. M. Carroll)
• To build resilience, study complex systems (L. Fisher)
• Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter (T. Alshaabi, J. L. Adams, M. V. Arnold, J. R. Minot, D. R. Dewhurst, A. J. Reagan, C. M. Danforth, P. S. Dodds)
• Stability of traffic breakup patterns in urban networks (M. Cogoni, G. Busonera)
• Auditing Wikipedia's Hyperlinks Network on Polarizing Topics (C. Menghini, A. Anagnostopoulos, E. Upfal)
• The Bayesian Learning Rule (M. E. Khan, H. Rue)
• The Causal-Neural Connection: Expressiveness, Learnability, and Inference (K. Xia, K.-Z. Lee, Y. Bengio, E. Bareinboim)
• A model-agnostic hypothesis test for community structure and homophily in networks (E. Yanchenko, S. Sengupta)

Data Visualization and Exploration with Python

July 4, 2021

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