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

Available

Product Details

Price
$59.99
Publisher
O'Reilly Media
Publish Date
Pages
400
Dimensions
6.9 X 9.1 X 0.7 inches | 1.3 pounds
Language
English
Type
Paperback
EAN/UPC
9781449369415

Earn by promoting books

Earn money by sharing your favorite books through our Affiliate program.

Become an affiliate

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 Amazon for a year, he recently joined the Center for Data Science at the New York University. In the last four years, he has been maintainer and one of the core contributor 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 the access to high-quality machine learning algorithms.

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.