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Learning Path for "Data Science with R" - Part I - Learning Machines
| | johanneslederer.com
A First Course in Statistical Learning | Johannes Lederer
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| | (Find information about my book on high-dimensional statistics here.) Summary This textbook introduces the fundamental concepts and methods of statistical learning. It uses Python and provides a unique approach by blending theory, data examples, software code, and exercises from beginning to end for a profound yet practical introduction to statistical learning. The book consists of...
| | leisureguy.ca
Territory and Influence: Yin and Yang of Go Game - Later On
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| | I realize - or at least suspect - that many of my readers do not yet play Go, but I like to offer encouragement to learn. This video, by Go Magic, has a clear explanation of some aspects of the play of Go, explained in a way that I think can be appreciated by nonplayers:...
| | www.ethanrosenthal.com
Yet Another PhD to Data Science Post (Part III) | Ethan Rosenthal
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| | This is the final part in my series on going from PhD to Data Science (parts I and II). As previously mentioned, while I was demoing my Insight project at companies, I also spent a good bit of time studying for interviews. The technical areas of study for interviews can be largely grouped as Computer Science (CS) Machine Learning (ML) Statistics SQL I'll first review some resources for these areas of study then talk about interviews.
| | chava61photography.photo.blog
Sunday Trees - 450 - This and That: The Continuation
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