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

Andreas C. Müller, Sarah Guido




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 | #12175 in Books |  2016-10-21 | Original language:English | PDF # 1 |  9.10 x.70 x6.90l,.0 | File type: PDF | 394 pages

||12 of 13 people found the following review helpful.| Great book for researchers wanting to learn and incorporate machine learning|By Julien Julien|This is a great book, and I'd say it is even great for those that are not familiar with python (you just obviously won't be able to run the code). For anyone with some basic understanding of linear algebra/statistics, the authors are able to present to you all the important (and some|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 device.Introduction to Machine Learning with Python: A Guide for Data Scientists   |  Andreas C. Müller, Sarah Guido. A good, fresh read, highly recommended.

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