Issue #57
June 28, 2020
- 1. An Introduction to Meta-Learning [medium.com/walmartlabs]
- 2. Forecast – a community for crowdsourced predictions and collective insights [npe.fb.com]
- 3. Introducing GitHub Super Linter: one linter to rule them all [github.blog]
- 4. What a machine learning tool that turns Obama white can (and can't) tell us about AI bias [theverge.com]
- 5. W. E. B. Du Bois's Modernist Data Visualizations of Black Life [hyperallergic.com]
- 6. Jupyter notebook for Machine Learning for Trading 2nd Edition [github.com/stefan-jansen]
- • Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China (J. Zhang, M. Litvinova, Y. Liang, Y. Wang, W. Wang, S. Zhao, Q. Wu, S. Merler, C. Viboud, A. Vespignani, M. Ajelli, H. Yu)
- • Opinion: What models can and cannot tell us about COVID-19 (A. F. Siegenfeld, N. N. Taleb, Y. Bar-Yam)
- • "Explaining" machine learning reveals policy challenges (D. Coyle, A. Weller)
- • Algorithmic Complexity of Multiplex Networks (A. Santoro, V. Nicosia)
- • EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets (J. Liu, T. Singhal, L. T. M. Blessing, K. L. Wood, K. H. Lim)
- • Graph convolutional networks: a comprehensive review (S. Zhang, H. Tong, J. Xu, R. Maciejewski)
- • Mobile smartphone tracing can detect almost all SARS-CoV-2 infections (B. Prasse, P. V. Mieghem)
- • A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19 (D. Oniani, Y. Wang)
The Deep Learning - Applied Math Connection
All our videos are also available in our YouTube playlist.
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