Machine Learning
Material type:
TextPublication details: Noida Pearson India Education 2025Edition: 2nd EdDescription: 526pISBN: - 9788119896738
- 006.31 DUT/M
Contents:
1 Introduction to Machine Learning
2 Preparing to Model
3 Modelling and Evaluation
4 Basics of Feature Engineering
5 Brief Overview of Probability
6 Bayesian Concept Learning
7 Supervised Learning: Classification
8 Supervised Learning: Regression
9 Unsupervised Learning
10 Basics of Neural Networks
11 Other Types of Learning"
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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Reference
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IIIT Kottayam Central Library Reference | 006.31 DUT/M (Browse shelf(Opens below)) | Not For Loan | 3142 | ||||
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IIIT Kottayam Central Library General Stacks | 006.31 DUT/M (Browse shelf(Opens below)) | 1 | Available | 3143 | |||
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IIIT Kottayam Central Library General Stacks | 006.31 DUT/M (Browse shelf(Opens below)) | 2 | Available | 3144 | |||
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IIIT Kottayam Central Library General Stacks | 006.31 DUT/M (Browse shelf(Opens below)) | 3 | Available | 3145 | |||
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IIIT Kottayam Central Library General Stacks | 006.31 DUT/M (Browse shelf(Opens below)) | 4 | Available | 3146 |
Total holds: 0
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| 006.31 DON/D Deep Reinforcement Learning : Fundamentals, Research and Applications | 006.31 DON/D Deep Reinforcement Learning : Fundamentals, Research and Applications | 006.31 DUT/M Machine Learning | 006.31 DUT/M Machine Learning | 006.31 DUT/M Machine Learning | 006.31 DUT/M Machine Learning | 006.31 ELG/D Deep Learning for Vision Systems |
1 Introduction to Machine Learning
2 Preparing to Model
3 Modelling and Evaluation
4 Basics of Feature Engineering
5 Brief Overview of Probability
6 Bayesian Concept Learning
7 Supervised Learning: Classification
8 Supervised Learning: Regression
9 Unsupervised Learning
10 Basics of Neural Networks
11 Other Types of Learning"
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