#2 | Introduction to Machine Learning | 3 reads |
#3 | Data Mining: Practical Machine Learning Tools and Techniques - Ian H. Witten
- Eibe Frank
- Mark A. Hall
| 1 read |
#4 | The Elements of Statistical Learning: Data Mining, Inference, and Prediction - Trevor Hastie
- Robert Tibshirani
- Jerome Friedman
| 2 reads |
#5 | | 2 reads |
#6 | Mining of Massive Datasets - Anand Rajaraman
- Jeffrey David Ullman
| 0 reads |
#7 | Pattern Recognition and Machine Learning | 2 reads |
#8 | Pattern Classification - Richard O. Duda
- Peter E. Hart
- David G. Stork
| 0 reads |
#9 | An Introduction to Statistical Learning - Daniela Witten
- Trevor Hastie
- Robert Tibshirani
- Gareth James
| 7 reads |