Issue #164

July 17, 2022

This weeks Data Science Book is " Analytical Skills for AI & Data Science " by D. Vaughan. This is an unusual book that takes a holistic approach to AI and Data Science from a Business perspective. Aimed at managers with limited Data Science experience, this book uses increasingly complex practical examples to introduce a wide range of concepts and analytical techniques. Even if you have no direct interest in AI and Data Science, this book will give you enough background knowledge to be able to successfully manage Data Scientists, break down complex problems into individual components and help guide your team towards the right solution to your business problems.

Analytical Skills for AI & Data Science

1. The Webb Space Telescope’s Profound Data Challenges [spectrum.ieee.org]
2. Technical Writing for Developers [css-tricks.com]
3. Unchecked AB Testing Destroys Everything it Touches [zumsteg.net]
4. How to Create a Heatmap for Trading [kaabar-sofien.medium.com]
5. Overcoming overfitting a model in Machine Learning [medium.com/@jwbtmf]
6. 10 Open Source Machine Learning Libraries [heartbeat.comet.ml]
7. Kurt Vonnegut on the 8 “shapes” of stories [bigthink.com]

• Intuitive physics learning in a deep-learning model inspired by developmental psychology (L. S. Piloto, A. Weinstein, P. Battaglia, M. Botvinick)
• The Lightning Network: Turning Bitcoin into Money (A. Divakaruni, P. Zimmerman)
• When stochasticity leads to cooperation (I. Braga, L. Wardil)
• Analysis of risk propagation using the world trade network (S. Kim, J. Yun)
• Language Models (Mostly) Know What They Know (S. Kadavath, T. Conerly, A. Askell, T. Henighan, D. Drain, E. Perez, N. Schiefer, Z. H. Dodds, et al)
• Inferring Tie Strength in Temporal Networks (L. Oettershagen, A. L. Konstantinidis, G. F. Italiano)
• Turing patterns in systems with high-order interactions (R. Muolo, L. Gallo, V. Latora, M. Frasca, T. Carletti)

All the videos of the week are now available in ourYoutube playlist.

July 17, 2022

​