Issue #156

May 22, 2022

This weeks Data Science Book is " The Practitioner's Guide to Graph Data " by D. K. Gosnell and M. Broecheler. Graph Thinking and Graph Data are topics near and dear to our hearts here at D4Sci (checkout G4Sci if you haven't yet) and this book does an excellent job of introducing both fundamental and advanced topics and techniques using practical real world datasets and state of the art graph databases. The book is exceptionally well written and easy to follow, with practical "rules of thumb" generously sprinkled throughout along with practical examples that you can use to grok as the various concepts are they are introduced. A must have for anyone interested in Graph Thinking and Graph Databases.

The Practitioner's Guide to Graph Data

1. The Big Six Matrix Factorizations [nhigham.com]
2. Python Standard Library changes in recent years [antonz.org]
3. A Short Guide to Hard Problems [quantamagazine.org]
4. Mito: Python data analysis in seconds [trymito.io]
5. Artificial Intelligence and Machine Learning– Explained [steveblank.com]
6. Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis [aidancooper.co.uk]
7. Software Development Resources for Data Scientists [rstudio.com]
8. Analytical Excellence Is All about Speed [towardsdatascience.com]

• People construct simplified mental representations to plan (M. K. Ho, D. Abel, C. G. Correa, M. L. Littman, J. D. Cohen, T. L. Griffiths)
• Uncovering differential equations from data with hidden variables (A. Somacal, Y. Barrera, L. Boechi, M. Jonckheere, V. Lefieux, D. Picard, E. Smucler)
• Diversity and homophily in social networks (S. Fazelpour, H. Rubin)
• Rising temperatures erode human sleep globally (K. Minor, A. Bjerre-Nielsen, S. S. Jonasdottir, S. Lehmann, N. Obradovich)
• Physics-Informed Machine Learning for Modeling Turbulence in Supernovae (P. I. Karpov, C. Huang, I. Sitdikov, C. L. Fryer, S. Woosley, G. Pilania)
• Community Detection in networks by Dynamical Optimal Transport Formulation (D. Leite, D. Baptista, A. Ibrahim, E. Facca, C. De Bacco)
• Algorithms for spanning trees of unweighted networks (L. Šubelj)

The Thousand Brains Theory: A Framework for Understanding the Neocortex and Building Intelligent Machines

May 22, 2022

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