Issue #97
April 4, 2021
This weeks Data Science Book is " Learning SQL " by A. Beaulieu. Despite recent developments and data storage advancements, much of the worlds data is still being produced, stored, and manipulated in SQL databases. SQL, the Structured Query Language, provides us with a simple and performant way to run complex queries, generate customized reports, and retrieve subsets of data. Beaulieu quickly and easily guides us from beginners to fluent users of this powerful language with chapters dedicated to introducing each of the fundamental concepts through annotated examples and exercises.
- 1. Major flaws found in machine learning for COVID-19 diagnosis [venturebeat.com]
- 2. Stop Calling Everything AI, Machine-Learning Pioneer Says [spectrum.ieee.org]
- 3. Why machine learning struggles with causality [bdtechtalks.com]
- 4. Building Smarter Search Products: 3 Steps for Evaluating Search Algorithms [shopify.engineering]
- 5. The Mathematical Pranksters behind Nicolas Bourbaki [daily.jstor.org]
- 6. Common Crawl dataset [commoncrawl.org]
- 7. Yoshua Bengio Team Proposes Causal Learning to Solve the ML Model Generalization Problem [medium.com/syncedreview]
- 8. What is Causal Data Fusion? [causalscience.org]
- • Universal resilience patterns in labor markets (E. Moro, M. R. Frank, A. Pentland, A. Rutherford, M. Cebrian, I. Rahwan)
- • "Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI (N. Sambasivan, S. Kapania, H. Highfill, D. Akrong, P. K. Paritosh, L. M. Aroyo)
- • Why is AI hard and Physics simple? (D. A. Roberts)
- • A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning (R. Zhang, B. D. Trisedy, M. Li, Y. Jiang, J. Qi)
- • Learning advanced mathematical computations from examples (F. Charton, A. Hayat, G. Lample)
- • Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics (D. Benkeser, M. Petersen, M. J. van der Laan)
- • Persona2vec: a flexible multi-role representations learning framework for graphs (J. Yoon, K.-C. Yang, W.-S. Jung, Y.-Y. Ahn)
Graph Neural Networks (GNN) using Pytorch Geometric
All our videos are also available in our YouTube playlist.
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