Issue #154
May 8, 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.
- 1. VSCode - Markdown Edition [blog.dendron.so]
- 2. Use Fast Data Algorithms [jolynch.github.io]
- 3. CDC Tracked Millions of Phones to See If Americans Followed COVID Lockdown Orders [vice.com]
- 4. The Man Who Would Teach Machines to Think [theatlantic.com]
- 5. Searching for What Connects Us, Carlo Rovelli Explores Beyond Physics [nytimes.com]
- 6. How to professionally say [howtoprofessionallysay.akashrajpurohit.com]
- 7. 8 best practices for optimizing Lambda functions [cloudash.dev]
- • Deep Link-Prediction Based on the Local Structure of Bipartite Networks (H. Lv, B. Zhang, S. Hu, Z. Xu)
- • Evaluation and promotion strategy of resilience of urban water supply system under flood and drought disasters (Z. Li, H. Zhao, J. Liu, J. Zhang, Z. Shao)
- • Betweenness centrality in dense spatial networks (V. Verbavatz, M. Barthelemy)
- • Analytical Models for Motifs in Temporal Networks (A. Porter, B. Mirzasoleiman, J. Leskovec)
- • Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning (Di Jin, Cuiying Huo, Jianwu Dang, P. Zhu, W. Zhang, W. Pedrycz, L. Wu)
- • A unified theory of information transfer and causal relation (Y. Tian, H. Hou, Y. Wang, Z. Zhang, P. Sun)
- • The universality in urban commuting across and within cities (L. Dong, P. Santi, Y. Liu, S. Zheng, C. Ratti)
How does Netflix recommend movies? Matrix Factorization
All our videos are also available in our YouTube playlist.
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