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Machine Learning : An Algorithmic Prespective

By: Material type: TextTextPublication details: New York CRC Press 2025Edition: 2ndDescription: xx, 437p. 24 x 18 cmISBN:
  • 9781138583405
DDC classification:
  • 006.31 MAR
Summary: 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
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Item type Current library Collection Call number Status Date due Barcode
Reference Reference Raj Kumar Goel Institute of Technology DS (Data Science) 006.31 MAR (Browse shelf(Opens below)) Not for loan 96316
Reference Reference Raj Kumar Goel Institute of Technology DS (Data Science) 006.31 MAR (Browse shelf(Opens below)) Not for loan 96317

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

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