Dutt Saikat Chandramauli Subrahmanian Das Amit Kumar
Machine Learning
- 2nd Ed
- Noida Pearson India Education 2025
- 526p.
1 Introduction to Machine Learning 2 Preparing to Model 3 Modelling and Evaluation 4 Basics of Feature Engineering 5 Brief Overview of Probability 6 Bayesian Concept Learning 7 Supervised Learning: Classification 8 Supervised Learning: Regression 9 Unsupervised Learning 10 Basics of Neural Networks 11 Other Types of Learning"