Machine Learning [1 ed.] 0190127279, 9780190127275, 9789391050504, 9391050506
This book on Machine Learning is designed as a textbook for undergraduate and post-graduate students of engineering. It
130 54 76MB
English Pages 500 [497] Year 2021
Table of contents :
Table of contents
1. Introduction to Machine Learning
2. Understanding Data
3. Basics of Learning Theory
4. Similarity-based Learning
5. Regression Analysis
6. Decision Tree Learning
7. Rule–based Learning
8. Bayesian Learning
9. Probabilistic Graphical Models
10. Artificial Neural Networks
11. Support Vector Machines
12. Ensemble Learning
13. Clustering Algorithms
14. Reinforcement Learning
15. Genetic Algorithms
16. Deep Learning
Table of contents
1. Introduction to Machine Learning
2. Understanding Data
3. Basics of Learning Theory
4. Similarity-based Learning
5. Regression Analysis
6. Decision Tree Learning
7. Rule–based Learning
8. Bayesian Learning
9. Probabilistic Graphical Models
10. Artificial Neural Networks
11. Support Vector Machines
12. Ensemble Learning
13. Clustering Algorithms
14. Reinforcement Learning
15. Genetic Algorithms
16. Deep Learning
![Machine Learning [1 ed.]
0190127279, 9780190127275, 9789391050504, 9391050506](https://ebin.pub/img/200x200/machine-learning-1nbsped-0190127279-9780190127275-9789391050504-9391050506.jpg)
- Author / Uploaded
- S Sridhar
- M Vijayalakshmi
- Similar Topics
- Computers
- Cybernetics: Artificial Intelligence
- Commentary
- Enjoy guys | Published: June 1, 2021
