Issue #94

March 14, 2021

This weeks Data Science Book is " Data Science From Scratch " by J. Grus. In this book, Grus, a mathematician by training, guides you through the math, statistics, and ideas underlying the algorithms of modern Data Science while showing you how to implement them from scratch. As you work your way through the book you'll quickly become an expert in the finer points (and possible pitfalls) of each algorithm while at the same time significantly improving your Python proficiency.

Data Science From Scratch

1. Self-supervised learning: The dark matter of intelligence [ai.facebook.com]
2. Write Simply [paulgraham.com]
3. New Algorithm Breaks Speed Limit for Solving Linear Equations [quantamagazine.org]
4. Understanding p-values Through Simulations [rpsychologist.com]
5. We Now Can See a Virus Mutate Like Never Before [theatlantic.com]
6. 4 Tips for Shipping Data Products Fast [shopify.engineering]
7. How Transformers work in deep learning and NLP: an intuitive introduction [theaisummer.com]

• Non–line-of-sight imaging over 1.43 km (C. Wu, J. Liu, X. Huang, Z.-P. Li, C. Yu, J.-T. Ye, J. Zhang, Q. Zhang, X. Dou, V. K. Goyal, F. Xu,J.-W. Pan)
• Out of Distribution Generalization in Machine Learning (M. Arjovsky)
• The ergodicity problem in economics (O. Peters)
• The Physics of Financial Networks (M. Bardoscia, P. Barucca, S. Battiston, F. Caccioli, G. Cimini, D. Garlaschelli, F. Saracco, T. Squartini, G. Caldarelli)
• Downsampling Time Series for Visual Representation (S. Steinarsson)
• The effectiveness of backward contact tracing in networks (S. Kojaku, L. Hébert-Dufresne, E. Mones, S. Lehmann, Y.-Y. Ahn)
• Blockchain in Cyberdefence: A Technology Review from a Swiss Perspective (L. Gambazzi, P. Schaller, A. Mermoud, V. Lenders)
• Self-Supervised Learning of Graph Neural Networks: A Unified Review (Y. Xie, Z. Xu, Z. Wang, S. Ji)
• Complete trajectory reconstruction from sparse mobile phone data (G. Chen, A. C. Viana, M. Fiore, C. Sarraute)

Learn Flask for Python

March 14, 2021

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