Issue #192

February 26, 2023

This week’s Data Science Book is " Advanced Algorithms and Data Structures " by M. La Rocca. This book is a great resource for engineers who want to enhance their knowledge of algorithms and data structures without having to go back to traditional, academic-style textbooks. The author has a deep understanding of how to deliver high-quality code and each algorithm is thoroughly illustrated with pseudo-code and diagrams. The book is especially helpful for tackling contemporary problems such as multidimensional search, understanding caches better, classification, and graph theory. The writing is friendly and approachable, making it relatively easy to understand, although some familiarity with math may be helpful. It is a book that can be read, skipped around, and returned to from time to time when needed. Overall, this is a strongly recommended book for engineers looking to enhance their algorithm and data structure knowledge.

Advanced Algorithms and Data Structures

1. The Importance of Probability in Data Science [kdnuggets.com]
2. AI won't make artists redundant - thanks to information theory [p.migdal.pl]
3. Researchers Discover a More Flexible Approach to Machine Learning [nautil.us]
4. Probability 101, the intuition behind martingales and solving problems with them [codeforces.com]
5. Model Selection with Imbalance Data: Only AUC may Not Save you [towardsdatascience.com]
6. A Quick Guide to Design Rigorous Machine Learning Experiments [towardsdatascience.com]
7. Getting to decisions faster in A/B tests – part 1: literature review [aurimas.eu]

• Early morning university classes are associated with impaired sleep and academic performance (S. C. Yeo, C. K. Y. Lai, J. Tan, S. Lim, Y. Chandramoghan, T. K. Tan, J. J. Gooley)
• Fundamental limits to learning closed-form mathematical models from data (O. Fajardo-Fontiveros, I. Reichardt, H. R. De Los Ríos, J. Duch, M. Sales-Pardo, R. Guimerà)
• Influential nodes identification in complex networks: a comprehensive literature review (K. A. Rai, M. Machkour, J. Antari)
• More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies (J. Lovato, P. Mueller, P. Suchdev, P. S. Dodds)
• Symbolic Discovery of Optimization Algorithms (X. Chen, C. Liang, D. Huang, E. Real, K. Wang, Y. Liu, H. Pham, X. Dong, T. Luong, C.-J. Hsieh, Y. Lu, Q. V. Le)
• Epidemic control in networks with cliques: a mixed-order phase transition (L. D. Valdez, L. Vassallo, L. A. Braunstein)
• Predicting Gender and Political Affiliation Using Mobile Payment Data (B. Stobaugh, D. Murthy)

Bokeh: Bar Charts Basics

February 26, 2023

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