Issue #116
July 4, 2021
- 1. Introduction to Deep Learning [sebastianraschka.com]
- 2. Bloom Filters - Much, much more than a space efficient hashmap! [boyter.org]
- 3. The Empirical and Data-Driven Revolution [thegradient.pub]
- 4. Geometric Deep Learning [geometricdeeplearning.com]
- 5. ConnectorX: The fastest library for loading your Python data frame [towardsdatascience.com]
- 6. Building architectures that can handle the world’s data [deepmind.com]
- 7. How to Detect Seasonality, Outliers, and Changepoints in Your Time Series [towardsdatascience.com]
- 8. The art of science [nature.com]
- 9. Data Monetization 101 [linkedin.com/pulse]
- • Lessons from arXiv’s 30 years of information sharing (P. Ginsparg)
- • Deep learning of contagion dynamics on complex networks (C. Murphy, E. Laurence, A. Allard)
- • Mitigating dataset harms requires stewardship: Lessons from 1000 papers (K. Peng, A. Mathur, A. Narayanan)
- • Effective epidemic containment strategy in hypergraphs (B. Jhun)
- • Applications of Deep Neural Networks (J. Heaton)
- • Longitudinal analysis shows durable and broad immune memory after SARS-CoV-2 infection with persisting antibody responses and memory B and T cells (K. W. Cohen, S. L. Linderman, Z. Moodie, J. Czartoski, L. Lai, et al)
Introduction to Dash Plotly
All our videos are also available in our YouTube playlist.
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