Issue #106

June 6, 2021

This weeks Data Science Book is "Data Science on AWS" by Chris Fregly and Antje Barth. We've all had the experience of running out of memory or compute power while performing our data analysis or training our models. In this extremely well written book, the authors introduce us to a huge slate of AWS services that we can use to train, develop and, eventually, deploy our Machine Learning models. Overall, the book strikes the right balance between technical depth and practical breadth and will put the power of AWS at our allowing you to put your data science capabilities on par with some of the leaders of the field.

Data Science on AWS

1. Optimize data analytics in capital markets with time-series databases [aws.amazon.com]
2. Recommended Data Repositories [nature.com]
3. A Concrete Introduction to Probability (using Python) [github.com/norvig]
4. Do Wide and Deep Networks Learn the Same Things? [ai.googleblog.com]
5. Data Cascades in Machine Learning [ai.googleblog.com]
6. Gibbard’s Theorem vs Stable Matching [cdsmithus.medium.com]
7. Machine learning is booming in medicine. It’s also facing a credibility crisis [statnews.com]
8. How to Ask Useful Questions [joshkaufman.net]

• Bad machines corrupt good morals (N. Köbis, J.-F. Bonnefon, I. Rahwan)
• Inference and influence of network structure using snapshot social behavior without network data (A. Godoy-Lorite, N. S. Jones)
• Synthetic living machines: A new window on life (M. R. Ebrahimkhani. M Levin)
• Event-Based Backpropagation can compute Exact Gradients for Spiking Neural Networks (T. C. Wunderlich, C. Pehle)
• Mapping the NFT revolution: market trends, trade networks and visual features (M. Nadini, L. Alessandretti, F. Di Giacinto, M. Martino, L. M. Aiello, A. Baronchelli)
• Optimizing travel routes using temporal networks constructed from GPS data (T. Mukai, Y. Ikeda)
• Evaluation of home detection algorithms on mobile phone data using individual-level ground truth (L. Pappalardo, L. Ferres, M. Sacasa, C. Cattuto, L. Bravo)

Functional Python

June 6, 2021

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