A weekly newsletter with the latest developments in Data Science and Machine Learning and Artificial Intelligence.
Issue #43
Mar 22, 2020
Dear friends,
Welcome to the 43rd issue of the Sunday Briefing. This week we take a small break from pandemic coverage to focus a bit more on more traditional data science and machine learning, the notable exception being a wonderful visual history of pandemics by the World Economic Forum that we can put under the heading of visualization and infographics
Finally, in our video of the week Derek Kane gives us a detailed tutorial on Hidden Markov Models, a simple example of a dynamic Bayesian network.
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Semper discentes,
The D4S team
Blog:
Our latest post covers the first part of section 1.3 Probability Theory and Statistics, an overview of some of the fundamental theoretical requirements for the journey ahead. The code for each blog post in this series is hosted by a dedicated GitHub repository for this project: github.com/DataForScience/Causality
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