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Bodh Gaya General Stacks | IT&DS | 006.31 SRI (Browse shelf(Opens below)) | 1 | Available | IIMG-004867 | |||
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Jammu | 006.31 SRI (Browse shelf(Opens below)) | Available | IIMLJ-4736 |
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
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