Issue #120

July 4, 2021

This weeks Data Science Book is " Fundamentals of Data visualization " by C. O. Wilke. Here at D4Sci we're firm believers that an image is worth 1000 words (check out V4Sci if you haven't already) and this book will quickly and easily super charge your visualization skills. Wilke brings to bear the perspective of a Data Scientist to a field often dominated by Designers. Throughout this book, Wilke teaches you how to craft powerful visualizations with your tool or programming language of choice by introducing only as much visualization theory and concepts as necessary and without getting lost in abstract ideas or concepts. The authors experience as a Data Science makes this one of the best applied books on Visualization, despite the fact that the book is entirely language agnostic.

Fundamentals of Data visualization

1. Has AI found a new Foundation? [thegradient.pub]
2. A friendly introduction to machine learning compilers and optimizers [huyenchip.com]
3. Awk: The Power and Promise of a 40-Year-Old Language [fosslife.org]
4. Greedy AI Agents Learn to Cooperate [spectrum.ieee.org]
5. The Future Is Big Graphs: A Community View on Graph Processing Systems [cacm.acm.org]
6. Reinforcement Learning Lecture Series 2021 [deepmind.com]
7. Physics-based Deep Learning Book [physicsbaseddeeplearning.org]

• The global effectiveness of fact-checking: Evidence from simultaneous experiments in Argentina, Nigeria, South Africa, and the United Kingdom (E. Porter, T. J. Wood)
• Identifying asymptomatic spreaders of antimicrobial-resistant pathogens in hospital settings (S. Pei, F. Liljeros, J. Shaman)
• High COVID-19 transmission potential associated with re-opening universities can be mitigated with layered interventions (E. Brooks-Pollock, H. Christensen, A. Trickey, G. Hemani, E. Nixon, A. C. Thomas, K. Turner, A. Finn, M. Hickman, C. Relton, L. Danon)
• Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task (A. Sadeghi, H. A. Malik, D. Collarana, J. Lehmann)
• gen2Out: Detecting and Ranking Generalized Anomalies (M.-C. Lee, S. Shekhar, C. Faloutsos, T. N. Hutson, L. Iasemidis)
• A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning (Y. Dar, V. Muthukumar, R. G. Baraniuk)
• Estimating the probabilities of causation via deep monotonic twin networks (A. Vlontzos, B. Kainz, C. M. Gilligan-Lee)
• Computational Hierarchy of Elementary Cellular Automata (B. Hudcová, T. Mikolov)
• (Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys (K. Joseph, S. Shugars, R. Gallagher, J. Green, A. Q. Mathé, Z. An, D. Lazer)

Graph Algorithms for Technical Interviews

July 4, 2021

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