Issue #184

December 4, 2022

This weeks Data Science Book is " Code: The hidden language of Computer Hardware and Software " by C. Petzold.This book is a bit of detour from our usual fare here at Data For Science as it focuses more on Computer Science than on Data Science per se . It provides a step-by-step timeline of how computers came to be, in a clear and concise way. It takes you on a tour of what happens "behind" the pixels on your screen, from logical gates on up, without requiring a heavy technical background. Chapter, by chapter, introduces each concept and technology necessary to make modern computers work. By the end of it, you'll have a detailed an intuitive understanding how Computers really work and will be able to mode easily optimize the way in which you write your own software. It might also make you want to learn to program in Assembly! A book that should be required reading for anyone interested in Computer Science.

Code: The hidden language of Computer Hardware and Software

1. Data-oriented Programming in Python [moderndescartes.com]
2. Statistical process control after W. Edwards Deming [2uo.de]
3. Your Creativity Won't Save Your Job From AI [theatlantic.com]
4. CausalPy - causal inference for quasi-experiments [pymc-labs.io]
5. The Physics of Scuba Diving [wired.com]
6. AI solves Advent of Code 2022 [note89.github.io]
7. Understanding Convolutions in Probability: A Mad-Science Perspective [countbayesie.com]
8. Statistical vs Deep Learning forecasting methods [github.com/Nixtla/]
9. Your Friends Have More Friends Than You [scribe.citizen4.eu]
10. The world is going to miss the totemic 1.5°C climate target [economist.com]

• The Evolution of Mathematical Software (J. J. Dongarra)
• Use of mobile phone data in HIV epidemic control (E. Valdano, J. T. Okano, V. Colizza)
• Coordinated inauthentic behavior (F. Giglietto)
• Dual communities in spatial networks (F. Kaiser, P. C. Böttcher, H. Ronellenfitsch, V. Latora, D. Witthaut)
• The 15-Minute City Quantified Using Mobility Data (T. Abbiasov, C. Heine, E. Glaeser, C. Ratti, S. Sabouri, A. Salazar-Miranda, P. Santi)
• Understanding the impact of physicality on network structure (M. Pósfai, B. Szegedy, I. Bačić, L. Blagojević, M. Abért, J. Kertész, L. Lovász, A.-L. Barabási)
• How Many Tweets DoWe Need?: Efficient Mining of Short-Term Polarized Topics on Twitter: A Case Study From Japan (T. Fukuma, K. Noda, H. Kumagai, H. Yamamoto, Y. Ichikawa, K. Kambe, Y. Maubuchi, F. Toriumi)
• A generating-function approach to modelling complex contagion on clustered networks with multi-type branching processes (L. A. Keating, J. P. Gleeson, D. J. P. O'Sullivan)
• Parametric control of PageRank centrality rankings: a geometrical approach (G. Contreras-Aso, R. Criado, M. Romance)

Debunking the great AI lie

December 4, 2022

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