Machine Learning for Beginners
Material type:
TextPublication details: New Delhi BPB 2025Edition: 2ndDescription: xxiii, 360p. 24 x 18 cmISBN: - 9789355515636
- 006.31 BHA
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Raj Kumar Goel Institute of Technology | MCA Collection | 006.31 BHA (Browse shelf(Opens below)) | Not for loan | 96502 | |
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Raj Kumar Goel Institute of Technology | Computer Science | 006.31 BHA (Browse shelf(Opens below)) | Not for loan | 96800 | |
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Raj Kumar Goel Institute of Technology | Computer Science | 006.31 BHA (Browse shelf(Opens below)) | Not for loan | 96801 | |
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Raj Kumar Goel Institute of Technology | IOT (Internet of Things) | 006.31 BHA (Browse shelf(Opens below)) | Not for loan | 96184 | |
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Raj Kumar Goel Institute of Technology | IOT (Internet of Things) | 006.31 BHA (Browse shelf(Opens below)) | Not for loan | 96185 |
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| 006.3017 ABH Artificial Intelligence Ethics and International Law | 006.3017 ABH Artificial Intelligence Ethics and International Law | 006.31 BHA Machine Learning for Beginners | 006.31 BHA Machine Learning for Beginners | 006.31 BHA Applied Machine Learning Solutions with Python | 006.31 BHA Applied Machine Learning Solutions with Python | 006.31 DOS Machine Learning |
Section I: Fundamentals
1. An Introduction to Machine Learning
2. The Beginning: Data Pre-Processing
3. Feature Selection
4. Feature Extraction
5. Model Development
Section II: Supervised Learning
6. Regression
7. K-Nearest Neighbors
8. Classification: Logistic Regression and Naïve Bayes Classifier
9. Neural Network I: The Perceptron
10. Neural Network II: The Multi-Layer Perceptron
11. Support Vector Machines
12. Decision Trees
13. An Introduction to Ensemble Learning
Section III: Unsupervised Learning and Deep Learning
14. Clustering
15. Deep Learning
Appendix 1: Glossary
Appendix 2: Methods/Techniques
Appendix 3: Important Metrics and Formulas
Appendix 4: Visualization- Matplotlib
Answers to Multiple Choice Questions
Bibliography
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