Issue #125

July 4, 2021

This weeks Data Science Book is " Fundamentals of Data visualization " by C. O. Wilke. Here at D4Sci we're firm believers that an image is worth 1000 words (check out V4Sci if you haven't already) and this book will quickly and easily super charge your visualization skills. Wilke brings to bear the perspective of a Data Scientist to a field often dominated by Designers. Throughout this book, Wilke teaches you how to craft powerful visualizations with your tool or programming language of choice by introducing only as much visualization theory and concepts as necessary and without getting lost in abstract ideas or concepts. The authors experience as a Data Science makes this one of the best applied books on Visualization, despite the fact that the book is entirely language agnostic.

Fundamentals of Data visualization

1. Self-Optimizing A/B Tests [chanind.github.io]
2. Interpreting A/B test results: false positives and statistical significance [netflixtechblog.com]
3. Algorithms of Reinforcement Learning [sites.ualberta.ca]
4. A Quick Introduction to Text Summarization in Machine Learning [towardsdatascience.com]
5. Machine learning is not nonparametric statistics [argmin.net]
6. Clustering with Scikit-Learn in Python [programminghistorian.org]
7. The State Of Web Scraping in 2021 [mihaisplace.blog]

• Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption (D. Froelicher, J. R. Troncoso-Pastoriza, J. L. Raisaro, M. A. Cuendet, J. S. Sousa, H. Cho, B. Berger, J. Fellay, J.-P. Hubaux)
• Modeling the emergence of affective polarization in the social media society (P. Törnberg, C. Andersson, K. Lindgren, S. Banisch)
• Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact (M. Mazzoli, E. Pepe, D. Mateo, C. Cattuto, L. Gauvin, P. Bajardi, M. Tizzoni, A. Hernando, S. Meloni, J. J. Ramasco)
• On a distance-constrained graph labeling to model cooperation (J. P. Georges, K. Kuenzel, D. W. Mauro, P. S. Skardal)
• Universal scaling of human flow remain unchanged during the COVID-19 pandemic (Y. Shida, H. Takayasu, S. Havlin, M. Takayasu)
• Socioeconomic biases in urban mixing patterns of US metropolitan areas (R. M. Hilman, G. Iñiguez, M. Karsai)
• Quantum Machine Learning for Finance (M. Pistoia, S. F. Ahmad, A. Ajagekar, A. Buts, S. Chakrabarti, D. Herman, S. Hu, A. Jena, P. Minssen, P. Niroula, A. Rattew, Y. Sun, R. Yalovetzky)

Web Scraping with BeautifulSoup and Requests

July 4, 2021

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