A weekly newsletter with the latest developments in Data Science and Machine Learning and Artificial Intelligence.
Issue #38
Feb 16, 2020
Dear friends,
Welcome to the Feb 16th edition of the Sunday Briefing.
This week was a major week for major project developments, with Facebook announcing the release of an Unprecedented URL Dataset that they are making available for academic research, Microsoft publishing Turing-NLG a new state of the art language model, fast.ai releasing their new API for Deep Learning and SciPy celebrating their 1.0 release with a overview article in Nature.
Finally, in the video of the week, Greg Winther will give us a timely overview on the basics of modeling epidemic spreading by Implementing a SIR Disease Model in Python.
Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, just go ahead and forward this email to them and help us spread the word!
Semper discentes,
The D4S team
Blog:
Our latest post covers section 1.2 Simpson's Paradox, a common yet poorly understood paradox that is common in Data Science. The code for each blog post in this series is hosted by a dedicated GitHub repository for this project: github.com/DataForScience/Causality
Opinion: Sustainable development must account for pandemic risk (M. Di Marco, M. L. Baker, P. Daszak, P. De Barro, E. A. Eskew, C. M. Godde, T. D. Harwood, M. Herrero, A. J. Hoskins, E. Johnson, W. B. Karesh, C. Machalaba, J. N. Garcia, D. Paini, R. Pirzl, M. S. Smith, C. Zambrana-Torrelio, S. Ferrier)
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