#2 | Introduction to Machine Learning | 0 | 3 reads | |
#3 | Data Mining: Practical Machine Learning Tools and Techniques - Ian H. Witten
- Eibe Frank
- Mark A. Hall
| 3 | 1 read | |
#4 | The Elements of Statistical Learning: Data Mining, Inference, and Prediction - Trevor Hastie
- Robert Tibshirani
- Jerome Friedman
| 4 | 2 reads | |
#5 | | 0 | 2 reads | |
#6 | Mining of Massive Datasets - Anand Rajaraman
- Jeffrey David Ullman
| 0 | 0 reads | |
#7 | Pattern Recognition and Machine Learning | 4 | 2 reads | |
#8 | Pattern Classification - Richard O. Duda
- Peter E. Hart
- David G. Stork
| 0 | 0 reads | |
#9 | An Introduction to Statistical Learning - Daniela Witten
- Trevor Hastie
- Robert Tibshirani
- Gareth James
| 4.25 | 7 reads | |