TY  - BOOK
AU  - Gollapudi, Sunila
TI  - Practical machine learning
SN  - 9781784399689
AV  - QA 76.9 .G65 2016 
PY  - 2016///
CY  - Birmingham, UK
PB  - Packt Publishing, Limited
KW  - MACHINE LEARNING
N1  - Includes index; Chapter 1. Introduction to machine learning -- Chapter 2. Machine learning and large-scale datasets -- Chapter 3. An introduction to Hadoop's architecture and ecosystem -- Chapter 4. Machine learning tools, libraries, and frameworks -- Chapter 5. Decision tree based learning -- Chapter 6. Instance and Kernel methods based learning -- Chapter 7. Association rules based learning -- Chapter 8. Clustering based learning -- Chapter 9. Bayesian learning -- Chapter 10 : Regression based learning -- Chapter 11. Deep learning -- Chapter 12. Reinforcement learning -- Chapter 13. Ensemble learning -- Chapter 14. New generation data architectures for machine learning
N2  - This book explores an extensive range of machine learning techniques, uncovering hidden tips and tricks for several types of data using practical real-world examples. While machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles
ER  -