Machine Learning : An Algorithmic Prespective
Material type:
TextPublication details: New York CRC Press 2025Edition: 2ndDescription: xx, 437p. 24 x 18 cmISBN: - 9781138583405
- 006.31 MAR
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
Reference
|
Raj Kumar Goel Institute of Technology | DS (Data Science) | 006.31 MAR (Browse shelf(Opens below)) | Not for loan | 96316 | |
|
Reference
|
Raj Kumar Goel Institute of Technology | DS (Data Science) | 006.31 MAR (Browse shelf(Opens below)) | Not for loan | 96317 |
Browsing Raj Kumar Goel Institute of Technology shelves, Collection: DS (Data Science) Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.31 GOP Applied Machine Learning | 006.31 GOP Applied Machine Learning | 006.31 GOP Applied Machine Learning | 006.31 MAR Machine Learning : An Algorithmic Prespective | 006.31 MAR Machine Learning : An Algorithmic Prespective | 006.31 MUL Introduction to Machine Learning with Python: A Guide for Data Scientists | 006.31 MUL Introduction to Machine Learning with Python: A Guide for Data Scientists |
1. Introduction
2. Preliminaries
3. Neurons, Neural Networks, and Linear Discriminants
4. The Multi-Layer Perceptron
5. Radial Basis Functions and Splines
6. Dimensionality Reduction
7. Probabilistic Learning
8. Support Vector Machines
9. Optimization and Search
10. Evolutionary Learning
11. Reinforcement Learning
12. Learning with Trees
13. Decision by Committee: Ensemble Learning
14. Unsupervised Learning
15. Markov Chain Monte Carlo (MCMC) Methods
16. Graphical Models
17. Symmetric Weights and Deep Belief Networks
18. Gaussian Processes
There are no comments on this title.