Machine Learning: A First Course for Engineers and Scientists

Author: Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten
Publisher: Cambridge University Press
Published: 06/02/2022
Pages: 325
Binding Type: Hardcover
Weight: 1.90lbs
Size: 10.10h x 7.20w x 0.77d
ISBN: 9781108843607

About the Author
Lindholm, Andreas: - 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.Wahlström, Niklas: - Niklas Wahlström is an Assistant Professor at the Division of Systems and Control, Department of Information Technology, Uppsala University. He received his MSc degree in 2010 and his PhD degree in automatic control in 2015, both from Linköping University, Sweden. During his studies he held a visiting position at ETH Zürich and Imperial College, London. Since 2016, he has been working at Uppsala University, first as a postdoctoral researcher and since 2019 in his present position. During his career, he has been involved in several machine learning course development projects.Lindsten, Fredrik: - Fredrik Lindsten is Associate Professor at the Division of Statistics and Machine Learning, Department of Computer and Information Science, Linköping University. He received his PhD in Automatic Control in 2013 from Linköping University. In 2014-2015 he was a Postdoctoral Research Associate at the University of Cambridge. He has held visiting positions at the Statistical Artificial Intelligence Lab, UC Berkeley, and the Department of Statistics, University of Oxford. He has received the Ingvar Carlsson Award by the Swedish Foundation for Strategic Research, and the Benzelius Award by the Royal Society of Sciences in Uppsala.
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