Issue #115
July 4, 2021
This weeks Data Science Book is the recently released second edition of " Scientific Computing with Python " by C. Führer, O. Verdier and J. E. Solem which fills an important gap in most Data Scientists bookshelves. High performance computing, specially scientific and numeric computing, is a fairly technical branch of computer science that most programmers aren't really familiar with. It requires a deep understanding of the finer points of the data structures being used and of their specific implementations. With this book the authors have managed to demystify a highly complex subject with clear explanations and analysis that will appeal to developers of all levels. Naturally, some of the subjects could gain from being further developed, but in every project of this kind a balance must be struck between breath and depth. Overall, a useful book that I'll refer to often.
- 1. Convolutional Neural Networks for Beginners [serokell.io]
- 2. An attempt at demystifying graph deep learning [ericmjl.github.io]
- 3. As lockdowns lift, media firms brace for an “attention recession” [economist.com]
- 4. Recursion in SQL Explained Visually [medium.com/swlh]
- 5. Reflections on 10,000 Hours of Programming [matt-rickard.com]
- 6. The worlds first website [history.com]
- 7. Mobility patterns influence how we experience income segregation in our cities [medium.com/mit-media-lab]
- • Quantifying the compressibility of complex networks (C. W. Lynn, D. S. Bassett)
- • Deep learning of contagion dynamics on complex networks (C. Murphy, E. Laurence, A. Allard)
- • How to avoid machine learning pitfalls: a guide for academic researchers (M. A. Lones)
- • Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data (E. Ubaldi, T. Yabe, N. K. W. Jones, M. F. Khan, S. V. Ukkusuri, E. Strano)
- • Linking the Network Centrality Measures Closeness and Degree (T. S. Evans, B. Chen)
- • Citations or dollars? Early signals of a firm's research success (S. Xu, M. S. Mariani, L. Lü, L. Napolitano, E. Pugliese, A. Zaccaria)
- • Geolocation differences of language use in urban areas (O. Kellert, N. H. Matlis)
Transformers from the Ground Up
All our videos are also available in our YouTube playlist.
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