I wrote this textbook in preparation for the machine learning course exam. It is an overview of key concepts that I personally found important or interesting. For a deeper understanding of the topic, I recommend the following literature:
- Murphy, Kevin P.: Probabilistic Machine Learning: An Introduction, MIT Press
- Bishop, Christopher M.: Pattern Recognition and Machine Learning, Springer
- Goodfellow, Ian; Bengio, Yoshua; Courville, Aaron: Deep Learning, MIT Press
- Jurafsky, Dan; Martin, James H.: Speech and Language Processing, Stanford University
The PDF file is accessible through the following link: Machine Learning Textbook