Issue #186
December 18, 2022
This weeks Data Science Book is " How Data Happened " by C. Wiggins and M. L. Jones. This book is an offshoot of the popular Columbia University course that Wiggins, a mathematician and Jones, an historian, teach together. They cover the history of Data, how algorithms developed and have been used over the years. They provide a special view on the development of the field of Data Science as we know it today and interesting perspectives on how it might develop in coming years. A unique source of insight and perspective that will help you become a leader in your Data Science career.
- 1. Abandoned: The human cost of neurotechnology failure [nature.com]
- 2. Data Visualization Checklist to make pro visuals in 2022! [medium.com/dssimplified]
- 3. Vector Animations With Python [zulko.github.io]
- 4. The state of AI in 2022—and a half decade in review [mckinsey.com]
- 5. A/B Testing with Holm's Procedure ⚖ [mlnotes.substack.com]
- 6. The many layers of data lineage [medium.com/data-monzo]
- 7. Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text [ai.facebook.com]
- 8. The 5 Stages of Machine Learning Validation [towardsdatascience.com]
- • Addressing census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements (K. Imai, S. Olivella, E. T. R. Rosenman)
- • Risky cascading transitions in international relationships (M. Zhang, S. Chen, W. Du, X. Cao, D. Li, J. Zhang, S. Havlin)
- • The WHO estimates of excess mortality associated with the COVID-19 pandemic (W. Msemburi, A. Karlinsky, V. Knutson, S. Aleshin-Guendel, S. Chatterji, J. Wakefield)
- • Class of models for random hypergraphs (M. Barthelemy)
- • Fitting degree distributions of complex networks (S. Mannion, P. MacCarron)
- • DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models (Z. He, T. Sun, K. Wang, X. Huang, X. Qiu)
- • Counterfactuals for the Future (L. E. J. Bynum, J. R. Loftus, J. Stoyanovich)
The Explainability Problem: Towards Understanding AI
All our videos are also available in our YouTube playlist.
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