Data Science Briefing #254

Issue #254

September 4, 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. What Is a Knowledge Graph? [neo4j.com]
  2. 2. Towards Geometric Deep Learning [thegradient.pub]
  3. 3. Experiments Prepare to Test Whether Consciousness Arises from Quantum Weirdness [scientificamerican.com]
  4. 4. Introduction to Objective Bayesian Hypothesis Testing [objectivebayesian.com]
  5. 5. The Simple Algorithm That Ants Use to Build Bridges [quantamagazine.org]
  6. 6. Leveraging AI for efficient incident response [engineering.fb.com]
  7. 7. Foundation for Human Vision Models [github.com/facebookresearch]

Papers of the Week
Video of the Week

1982 Lecture by Computing Pioneer Rear Admiral Grace Hopper

1982 Lecture by Computing Pioneer Rear Admiral Grace Hopper

All our videos are also available in our YouTube playlist.


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