#2 | Introduction to Machine Learning |
#3 | Data Mining: Practical Machine Learning Tools and Techniques - Ian H. Witten
- Eibe Frank
- Mark A. Hall
|
#4 | The Elements of Statistical Learning: Data Mining, Inference, and Prediction - Trevor Hastie
- Robert Tibshirani
- Jerome Friedman
|
#5 | |
#6 | Mining of Massive Datasets - Anand Rajaraman
- Jeffrey David Ullman
|
#7 | Pattern Recognition and Machine Learning |
#8 | Pattern Classification - Richard O. Duda
- Peter E. Hart
- David G. Stork
|
#9 | An Introduction to Statistical Learning - Daniela Witten
- Trevor Hastie
- Robert Tibshirani
- Gareth James
|