Introduction to Machine Learning with Python by Andreas C Mueller

Introduction to Machine Learning with Python by Andreas C Mueller

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.

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 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.

SKU	Unavailable
ISBN 13	9781449369415
ISBN 10	1449369413
Title	Introduction to Machine Learning with Python
Author	Andreas C Mueller
Condition	Unavailable
Binding Type	Paperback
Publisher	O'Reilly Media
Year published	2016-11-15
Number of pages	392
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.