Issue #151
July 4, 2021
This weeks Data Science Book is " Bayes' Rule: A Tutorial Introduction to Bayesian Analysis " by J. V. Stone. Despite its simplicity Bayes Rule is one of the most power theorems in probability theory. This relatively short book (170 pages) provides a nice overview and hands on introduction to Bayesian analysis. While the main text provides a strong foundation to the main ideas and concepts, the companion Python code gives you a leg up in introducing these techniques into your daily work. Overall, an excellent first introduction to the topic and a good refresher reference if you haven't touched this area in some time.
- 1. How to Write More Clearly, Think More Clearly, and Learn Complex Material More Easily [covingtoninnovations.com]
- 2. Researchers Gain New Understanding From Simple AI [quantamagazine.org]
- 3. Why Is It Difficult for Developers to Learn Another Programming Language? [cacm.acm.org]
- 4. Computer Science Open Data [jeffhuang.com]
- 5. K-Nearest Neighbor (KNN) Explained [pinecone.io]
- 6. Measuring Goodhart’s Law [openai.com]
- 7. Europe Is Building a Huge International Facial Recognition System [wired.co.uk]
- • Bringing back the golden days of Bell Labs (I. Georgescu)
- • Semantic projection recovers rich human knowledge of multiple object features from word embeddings (G. Grand, I. A. Blank, F. Pereira, E. Fedorenko)
- • Individual versus social benefit on heterogeneous networks (Z. Babaee, M. Bagherikalhor, L. Elyasizad, M. D. Niry, G. R. Jafari)
- • NodeSim: node similarity based network embedding for diverse link prediction (A. Saxena, G. Fletcher, M. Pechenizkiy)
- • EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts (I. Li, K. You, X. Tang, Y. Qiao, L. Huang, C.-C. Hsieh, B. Rosand, D. Radev)
- • The Mathematics of Artificial Intelligence (G. Kutyniok)
- • This Sample seems to be good enough! Assessing Coverage and Temporal Reliability of Twitter's Academic API (J. Pfeffer, A. Mooseder, L. Hammer, O. Stritzel, D. Garcia)
Machine Learning for Asset Managers
All our videos are also available in our YouTube playlist.
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