Issue #108

June 20, 2021

This weeks Data Science Book is " The Hundred-Page Machine Learning Book " by Andriy Burkov. In this short book (despite the title, it in at 160 pages, but we won’t hold it against it) Burkov provides a high level overview of a broad range of Machine Learning topics that will appeal to beginners and perspective students who wish to get a quick survey of the breadth of possibilities afforded by ML algorithms before diving more deeply into the subject. While the book won’t convert you into a ML expert overnight, it does provide enough information and references to get you started and armed with enough baggage to be able to choose your own path. Another audience that will find the book useful is that of managers and those collaborating with data scientists and who need a solid understanding on the basics of this class of algorithms.

The Hundred-Page Machine Learning Book

1. Advancing AI theory with a first-principles understanding of deep neural networks [ai.facebook.com]
2. Decision Tree For Trading Using Python [blog.quantinsti.com]
3. 6 Python Projects to Improve Your Skills and Kill Some Time [medium.com/pythonland]
4. Excel, Python, and the future of data science [infoworld.com]
5. 1931: Kurt Gödel, founder of theoretical computer science, shows limits of math, logic, computing, and artificial intelligence [people.idsia.ch]
6. Hierarchical Hidden Markov Models [towardsdatascience.com]
7. Is a Knowledge Graph capable of capturing human knowledge? [alessandro-negro.medium.com]
8. Graph Embeddings — The Summary [towardsdatascience.com]

• Principled approach to the selection of the embedding dimension of networks (W. Gu, A. Tandon, Y.-Y. Ahn, F. Radicchi)
• Effect of COVID-19 response policies on walking behavior in US cities (R. F. Hunter, L. Garcia, T. H. de Sa, B. Zapata-Diomedi, C. Millett, J. Woodcock, A. Pentland, E. Moro)
• Thinking Like Transformers (G. Weiss, Y. Goldberg, E. Yahav)
• A Survey of Transformers (T. Lin, Y. Wang, X. Liu, X. Qiu)
• The Modern Mathematics of Deep Learning (J. Berner, P. Grohs, G. Kutyniok, P. Petersen)
• Epidemic dynamics on metapopulation networks with node2vec mobility (L. Meng, N. Masuda)
• Sirius: A Mutual Information Tool for Exploratory Visualization of Mixed Data (J. L. Adams, T. F. Deluca, C. M. Danforth, P. S. Dodds, Y. Zheng, K. Anastasakis, B. Choi, A. Min, M. M. Bessey)

Data Visualization for Non-Programmers

June 20, 2021

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