Author: steve miller I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS […] Read More
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Author: steve miller I started a series on causal inference for data science a few weeks back. I think CI methodologies offer great potential for the DS […] Read More
Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More
Author: Gregory Piatetsky Like chess, Big Data is a combination of science, art and play; Gregory Piatetsky-Shapiro of KDnuggets helps data devotees discover winning moves […] Read More
Author: Gregory PS Editor This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek […] Read More
Author: Gregory PS Editor Drexel’s new online MS in Data Science is the degree that launched a thousand opportunities. Complete your courses on your own […] Read More
Author: ajit jaokar Image source: Wikipedia Introduction This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated […] Read More
Author: Gregory PS Editor Also: Best Practices for Using Notebooks for #DataScience; Automated #MachineLearning – results of Gene Feruzza AutoML research. Go to Source
Author: Bill Schmarzo In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development Canvas,” I introduced the Hypothesis Development Canvas as a […] Read More