Books and Resources
Here is a list of recommended books. There are no required texts for the course. Students with no background in machine learning
should read Alpaydin (an undergraduate-level introduction to ML) and Bishop.
- Alpaydin, Introduction to Machine Learning (Adaptive Computation and Machine Learning), MIT Press, 2004.
- Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
- Gold and Morgan, Speech and Audio Signal Processing : Processing and Perception of Speech and Music, Wiley, 1999.
- Hastie, Tibshirani, Friedman, The Elements of Statistical Learning, Springer-Verlag, 2001.
- Handel, Listening, An introduction to the perception of auditory events, MIT Press, 1993.