Data Science Briefing #253

Issue #253

August 7, 2024


Book of the Week

This week's book is "Working with Network Data" by J. Bagrow and Y.-Y. Ahn. Networks are the keystone concept necessary to understand a wealth of real-world complex systems whose behavior is characterized by interactions between individual components. In this book, J. Bagrow and Y.-Y. Ahn, two leading researchers in the field of Complex Networks, introduce readers to the fundamental concepts of Network Science and how to apply them to practical datasets. Their hands-on approach will get you up to speed quickly, allowing you to develop effective approaches to understanding your own network datasets.

Working with Network Data

Working with Network Data


Links of the Week
  1. 1. Artificial Intelligence Gives Weather Forecasters a New Edge [nytimes.com]
  2. 2. Introducing GitHub Models: A new generation of AI engineers building on GitHub [github.blog]
  3. 3. Writing a tile server in python [grulic.org.ar]
  4. 4. Trying Kolmogorov-Arnold Networks in Practice [cprimozic.net]
  5. 5. A Visual Guide to Quantization [newsletter.maartengrootendorst.com]
  6. 6. Why many studies wrongly claim it’s healthy to drink a little alcohol [newscientist.com]
  7. 7. The Truth About Linear Regression [stat.cmu.edu]

Papers of the Week
Video of the Week

Physics of Language Models: Knowledge Storage, Extraction, and Manipulation

Physics of Language Models: Knowledge Storage, Extraction, and Manipulation

All our videos are also available in our YouTube playlist.


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