Issue #168

August 15, 2022

This weeks Data Science Book is "Fundamentals of Data Engineering" by J. Reis and M. Housley. While our focus is on Data Science, we can't downplay the major role played by Data Engineering in practical Data projects. In this recent tome, the authors guide us through the thought processes, concepts and principles necessary to establish a successful Data Engineering operation to help support all of your data driven projects. They recommend a cloud first approach that allows for quick experimentation, adaptation and scaling.

Fundamentals of Data Engineering

1. The Four Pillars of Data Observability [metaplane.dev]
2. Efficient Simulation through Linear Algebra [mht.wtf]
3. Vector graphics on GPU [gasiulis.name]
4. Copyright infringement in artificial intelligence art [technollama.co.uk]
5. Detect Defects in a Data Pipeline Early with Validation and Notifications [towardsdatascience.com]
6. Data Visualization in Python [blog.resolvingpython.com]
7. Deep Reinforcement Learning for Trading Cryptocurrencies [medium.com/coinmonks]

• Impactful scientists have higher tendency to involve collaborators in new topics (A. Zeng, Y. Fan, Z. Di, Y. Wang, S. Havlin)
• Dos and Don'ts of Machine Learning in Computer Security (D. Arp, E. Quiring, F. Pendlebury, A. Warnecke, F. Pierazzi, C. Wressnegger, L. Cavallaro, K. Rieck)
• What insects can tell us about the origins of consciousness (A. B. Barron, C. Klein)
• A spatiotemporal decay model of human mobility when facing large-scale crises (W. Li, Q. Wang, Y. Liu, M. L. Small, J. Gao)
• A hierarchy of linguistic predictions during natural language comprehension (M. Heilbron, K. Armeni, J.-M. Schoffelen, P. Hagoort, F. P. de Lange)
• Identifying Human Mobility Patterns using Smart Card Data (O. Cats)
• A Flow-Based Node Dominance Centrality Measure for Complex Networks (S. M. Kannappan, U. Sridhar)

All the videos of the week are now available in ourYoutube playlist.

August 15, 2022

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