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Python for Probability, Statistics, and Machine Learning

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Table of Contents

Getting Started with Scientific Python.- Probability.- Statistics.- Machine Learning.- Notation.

About the Author

Dr. Jose Unpingco completed his PhD from the University of California, San Diego in 1998 and has since worked in industry as an engineer, consultant, and instructor on a wide-variety of advanced data processing and analysis topics, with deep experience in multiple machine learning technologies. He was the onsite technical director for large-scale Signal and Image Processing for the Department of Defense (DoD) where he also spearheaded the DoD-wide adoption of scientific Python. As the primary scientific Python instructor for the DoD, he has taught Python to over 600 scientists and engineers. Dr. Unpingco is currently the Technical Director for Data Science for a non-profit Medical Research Organization in San Diego, California.


"The purpose of this book is to introduce scientific Python to those who have a prior knowledge of probability and statistics as well as basic Python. ... this is a very valuable reference for those wishing to use these methods in a Python environment. ... I would strongly recommend this book for the intended audience or as a reference work. ... All in all, I strongly recommend this book for those who want to use Python in this area." (David E. Booth, Technometrics, Vol. 59 (2), April, 2017)

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