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Introduction to Machine Learning with Python
A Guide for Data Scientists
Taschenbuch von Sarah Guido (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

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.

Details
Erscheinungsjahr: 2016
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781449369415
ISBN-10: 1449369413
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Guido, Sarah
Müller, Andreas C.
Hersteller: O'Reilly Media
Maße: 235 x 179 x 21 mm
Von/Mit: Sarah Guido (u. a.)
Erscheinungsdatum: 31.07.2016
Gewicht: 0,7 kg
Artikel-ID: 105028117
Über den Autor

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.

Details
Erscheinungsjahr: 2016
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781449369415
ISBN-10: 1449369413
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Guido, Sarah
Müller, Andreas C.
Hersteller: O'Reilly Media
Maße: 235 x 179 x 21 mm
Von/Mit: Sarah Guido (u. a.)
Erscheinungsdatum: 31.07.2016
Gewicht: 0,7 kg
Artikel-ID: 105028117
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