Issue #215
September 6, 2023
This week’s Data Science Book, "Learning Git", by Anna Skoulikari. This is a remarkable book that caters to both technical and non-technical individuals seeking to master Git. The book's rainbow project approach offers an effective and enjoyable way to understand the inner workings of Git, covering all the basics needed for practical use in an industry setting. From setting up local repositories to managing remote ones, the book excels in simplifying complex concepts with colorful diagrams and highlighted keywords. Highly recommended for anyone looking to grasp Git's fundamentals and achieve confident control over version control in their work.
- 1. Forty Years Ago, EPA Scientists Warned About Climate Change. How Accurate Were Their Predictions? [themessenger.com]
- 2. A resource list for causality in statistics, data science and physics [github.com/msuzen/looper]
- 3. COVID-19: Examining [the effectiveness of]
- 4. Can We Talk to Whales? [newyorker.com]
- 5. A Gentler, Better Way to Change Minds [theatlantic.com]
- 6. Teaching with AI [openai.com]
- 7. Understanding Automatic Differentiation in 30 lines of Python [vmartin.fr]
- • Universal patterns in egocentric communication networks (G. Iñiguez, S. Heydari, J. Kertész, J. Saramäki)
- • Europe spent €600 million to recreate the human brain in a computer. How did it go? (M. Naddaf)
- • More is different in real-world multilayer networks (M. De Domenico)
- • Representing the Disciplinary Structure of Physics: A Comparative Evaluation of Graph and Text Embedding Methods (I. Constantino, S. Kojaku, S. Fortunato, Y.-Y. Ahn)
- • Neural network models for influenza forecasting with associated uncertainty using Web search activity trends (M. Morris, P. Hayes, I. J. Cox, V. Lampos)
- • Transformers as Support Vector Machines (D. A. Tarzanagh, Y. Li, C. Thrampoulidis, S. Oymak)
- • Consciousness in Artificial Intelligence: Insights from the Science of Consciousness (P. Butlin, R. Long, E. Elmoznino, Y. Bengio, J. Birch, A. Constant, G. Deane, S. M. Fleming, C. Frith, X. Ji, R. Kanai, C. Klein, G. Lindsay, M. Michel, L. Mudrik, M. A. K. Peters, E. Schwitzgebel, J. Simon, R. Van Rullen)
Competition is for Losers with Peter Thiel
All our videos are also available in our YouTube playlist.
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