Introduction to Machine Learning with Python
A Guide for Data Scientists
$73.55
- Paperback
392 pages
- Release Date
15 November 2016
Summary
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 successful machine-learning applic…
Book Details
| ISBN-13: | 9781449369415 |
|---|---|
| ISBN-10: | 1449369413 |
| Author: | Andreas C. Mueller |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 392 |
| Release Date: | 15 November 2016 |
| Weight: | 710g |
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Andreas C. Mueller
Andreas Muller
Andreas Muller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at New York University. In the last four years, he has been a maintainer and one of the core contributors of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science, and democratize access to high-quality machine learning algorithms.
Sarah
Sarah is a data scientist who has spent a lot of time working in start-ups. She loves Python, machine learning, large quantities of data, and the tech world. She is an accomplished conference speaker, currently resides in New York City, and attended the University of Michigan for grad school.
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