Introduction to Machine Learning with Python: A Guide for Data Scientists 1st Edition, Kindle Edition
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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.--This text refers to the paperback edition.
- Word Wise : Not Enabled
- Print Length : 402 pages
- Publisher : O'Reilly Media; 1st Edition (September 26, 2016)
- File Size : 42278 KB
- Publication Date : September 26, 2016
- ASIN : B01M0LNE8C
- X-Ray : Not Enabled
- Language: : English
- Text-to-Speech : Enabled
- Enhanced Typesetting : Enabled
- Simultaneous Device Usage : Unlimited
- Lending : Not Enabled
- Best Sellers Rank: #103,929 in Kindle Store (See Top 100 in Kindle Store)
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