Srinivasaraghavan, Anuradha  <br/><br/>
Machine learning 

 - New Delhi  Wiley  2019 
 - 308p. 
<br/><br/>  Table of Contents:  1. Introduction to Machine Learning  2. Model and Cost Function  3. Basics of Vectors and Matrices  4. Basics of Python  5. Data Preprocessing  6. Artificial Neural Networks  7. Linear Regression  8. Logistic Regression  9. Decision Tree  10. Support Vector Machines  11. Bayesian Classification  12. Hidden Markov Model  13. Introduction to Unsupervised Learning Algorithms  14. Optimization  
<br/><br/><label>ISBN: </label>9788126578511 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>006.31 SRI