eBook - ePub
A First Course in Machine Learning
Simon Rogers, Mark Girolami
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- 397 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
A First Course in Machine Learning
Simon Rogers, Mark Girolami
Book details
Table of contents
Citations
About This Book
- Introduces the main algorithms and ideas that underpin machine learning techniques and applications
- Keeps mathematical prerequisites to a minimum, providing mathematical explanations in comment boxes and highlighting important equations
- Covers modern machine learning research and techniques
- Includes three new chapters on Markov Chain Monte Carlo techniques, Classification and Regression with Gaussian Processes, and Dirichlet Process models
- Offers Python, R, and MATLAB code on accompanying website: http://www.dcs.gla.ac.uk/~srogers/firstcourseml/"
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- List of Tables
- List of Figures
- Preface to the First Edition
- Preface to the Second Edition
- SECTION I Basic Topics
- SECTION II Advanced Topics
- Glossary
- Index
Citation styles for A First Course in Machine Learning
APA 6 Citation
Rogers, S., & Girolami, M. (2016). A First Course in Machine Learning (2nd ed.). CRC Press. Retrieved from https://www.perlego.com/book/2192888/a-first-course-in-machine-learning-pdf (Original work published 2016)
Chicago Citation
Rogers, Simon, and Mark Girolami. (2016) 2016. A First Course in Machine Learning. 2nd ed. CRC Press. https://www.perlego.com/book/2192888/a-first-course-in-machine-learning-pdf.
Harvard Citation
Rogers, S. and Girolami, M. (2016) A First Course in Machine Learning. 2nd edn. CRC Press. Available at: https://www.perlego.com/book/2192888/a-first-course-in-machine-learning-pdf (Accessed: 15 October 2022).
MLA 7 Citation
Rogers, Simon, and Mark Girolami. A First Course in Machine Learning. 2nd ed. CRC Press, 2016. Web. 15 Oct. 2022.