COMPENG 4SL4
Fundamentals of Machine Learning
Fall 2026 · Fundamentals Machine Learning · C01
Readings
- eText Machine Learning: A First Course For Engineers And Scientists - Lifetime AccessISBN 9781108911979; 9781108843607
Fall
Topics
- Fundamental principles and algorithms of machine learning
- Linear and logistic regression
- Nearest neighbours
- Decision trees
- Neural networks
- Support vector machines
- Ensemble methods
- Clustering and principal component analysis
- Basics of reinforcement learning
Readings
- Andreas Lindholm et al., Machine Learning: A First Course for Engineers and Scientists, Cambridge University Press, 2022 (ISBN: 9781108843607)ISBN 9781108843607
- C. M. Bishop, Deep Learning. Foundations and Concepts, Springer, 2024 (ISBN:
- C. M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006 (ISBN
- T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning, 2nd Ed., Springer, 2009 (ISBN 9780387848570).ISBN 9780387848570
- R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction, 2nd Ed., The MIT Press, 2018 (ISBN 9780262039246).ISBN 9780262039246
- I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning, The MIT Press, 2016 (ISBN
- S. J. D. Prince, Understanding Deep Learning, The MIT Press, 2023 (ISBN: