Andreas Lindholm, Niklas Wahlstrom (Sweden Uppsala Universitet), Fredrik Lindsten (Sweden Linkopings Universitet)

Gebundenes Buch

Machine Learning

A First Course for Engineers and Scientists

Beschreibung

This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and programming is suitable for advanced BSc or MSc courses. It covers theory and practice of basic and advanced methods such as deep learning, Gaussian processes, random forests, support vector machines and boosting.

Autor

Andreas Lindholm is a machine learning research engineer at Annotell, Gothenburg, working with data annotation and data quality questions for autonomous driving. He received his MSc degree in 2013 from Linköping University (including studies at ETH Zürich and UC Santa Barbara). He received his PhD degree in 2018 from the Department of Information Technology, Uppsala University. At the time of writing this book he was a postdoctoral researcher at the same department. Throughout his entire academic career he has had a particular interest in teaching applied mathematical subjects.

Produktdetails

• Verlag: Cambridge University Press
• New ed
• Seitenzahl: 350
• Erscheinungstermin: 31. März 2022
• Englisch
• Abmessung: 258mm x 182mm x 21mm
• Gewicht: 908g
• ISBN-13: 9781108843607
• ISBN-10: 1108843603
• Artikelnr.: 62846616