Issue #188
January 2, 2023
This week’s Data Science Book is " Data Science in Context " by A. Z. Spector, P. Norvig, C. Wiggins, and J. M. Wing. The book, whose authors require no introduction, provides a comprehensive overview of Data Science, covering the technical aspects of the field and the ethical considerations and challenges it presents. It is structured in a way that makes it easy for readers to understand and absorb the information and offers recommendations for addressing ethical concerns. The authors focus on real-life examples from their various fields, such as healthcare and finance, to illustrate data science applications and their potential impact. Aimed at a wide audience, it includes data science novices and experienced professionals, and is recommended for anyone with an interest in data science and its role in daily life and various industries.
- 1. Building Airbnb Categories with ML and Human-in-the-Loop [medium.com/airbnb-engineering]
- 2. Annotated History of Modern AI and Deep Learning [people.idsia.ch/~juergen]
- 3. Backtest your Trading Systems with Python — Plotting [wire.insiderfinance.io]
- 4. Top Python libraries of 2022 [tryolabs.com]
- 5. Ready-to-go sample data pipelines with Dataflow [netflixtechblog.com]
- 6. Hands-on Generative Adversarial Networks (GAN) for Signal Processing, with Python [towardsdatascience.com]
- 7. 7 Visualizations with Python to Express Changes in Rank over Time [towardsdatascience.com]
- • Longitudinal data collection to follow social network and language development dynamics at preschool (S. Dai, H. Bouchet, M. Karsai, J.-P. Chevrot, E. Fleury, A. Nardy)
- • Genomics and phenomics of body mass index reveals a complex disease network (J. Huang, J. E. Huffman, Y. Huang, Í. Do Valle, T. L. Assimes, S. Raghavan, B. F. Voight, C.-M. Liu, A.-L. Barabási, et al)
- • Reversibility of link prediction and its application to epidemic mitigation (S. Sulaimany, A. Mafakheri)
- • Schooling substantially improves intelligence, but neither lessens nor widens the impacts of socioeconomics and genetics (N. Judd, B. Sauce, T. Klingberg)
- • Public Health and Online Misinformation: Challenges and Recommendations (B. Swire-Thompson, D. Lazer)
- • Identifying Influential Spreaders in Complex Networks Based on Degree Centrality (Q. Wang, J. Ren, H. Zhang, Y. Wang, B. Zhang)
- • A meso-scale cartography of the AI ecosystem (F. Gargiulo, S. Fontaine, M. Dubois, P. Tubaro)
Matplotlib Animations in Python
All our videos are also available in our YouTube playlist.
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