Introduction to Machine Learning with Python | Nabucodonosor

Introduction to Machine Learning with Python

A Guide for Data Scientists

Muller Andreas C
Sarah Guido

impreso
ebook

ISBN 978-1449369415

Fecha de lanzamiento 20/10/2016

Paginas 400

Numero de edicion 1

Idioma original Inglés

Editorial O'Reilly Media

Descripcíon
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.Leer más

ISBN B01M0LNE8C

Fecha de lanzamiento 26/09/2016

Paginas 400

Numero de edicion 1

Idioma original Inglés

Editorial O'Reilly Media

Descripcíon
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.Leer más