Introduction to Machine Learning with Python: A Guide for Data Scientists






[PDF.xw81] Introduction to Machine Learning with Python: A Guide for Data Scientists
Rating: 3.77 (536 Votes)

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 | #19452 in Books |  2016-10-21 | Original language:English | PDF # 1 |  9.17 x.81 x7.01l,.0 | File type: PDF | 394 pages

||21 of 25 people found the following review helpful.| Exactly what I was looking for|By gcgutier|Fantastic introduction to machine learning in Python. The examples are well written, and do a very nice job of introducing both the implementation and the concept for each model. I'm halfway thru the book, and am really enjoying it.

I have a background in math and wrote software professionally for a number of years, but|About the Author|
|Andreas Müller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at for a year, he recently joined the Center for Data Science at the New

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.

You’ll learn the steps necessary to create a ...



You easily download any file type for your gadget.Introduction to Machine Learning with Python: A Guide for Data Scientists   |  Andreas C. Müller, Sarah Guido. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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