A weekly newsletter with the latest developments in Data Science and Machine Learning and Artificial Intelligence.
Issue #22
Oct 27, 2019
Dear friends,
Welcome to the latest edition of Sunday Briefing. This week we are taking a look at some of the less explored aspects of math and data science with a History of Mathematics, a nice post on Linear Programming, some advice on how to generate labels for unlabeled data and a comparison of statistical and mathematical modeling approaches.
We also consider a paper discussing the limitations of current neuroscience approaches by applying them to relatively simple CPUs, a new library for Graph Statistics in Python and a general framework for sampling temporal networks in an unbiased way.
Finally, in our video of the week Joe Jevnik guides us through a 2017 tutorial on using Neural Networks for Time Series Prediction.
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Semper discentes,
The D4S team
Top Links:
Tutorials and blog posts that came across our desk this week.
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