Machine Learning 2/e
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About the book
Machine Learning introduces readers to the area of machine learning in an extremely easy to read and understand manner. Through numerous worked-out problems, diagrams and notes, the text makes this challenging subject easy to assimilate. The text starts with a simple introduction to the concepts of machine learning and expands it by delving into the details of different learning algorithms by using sample case lets. The authors, by virtue of their long exposure to industry implementations, have designed the topics so that readers will earn industry-readiness by just reading this text.
Content:
- Introduction to Machine Learning
- Preparing to Model
- Modelling and Evaluation
- Basics of Feature Engineering
- Brief Overview of Probability
- Bayesian Concept Learning
- Supervised Learning: Classification
- Supervised Learning: Regression
- Unsupervised Learning
- Reinforcement Learning
- Basics of Neural Network
- Other Types of Learning
- End-to-end M L Implementations
- Generative AI & Large Language Models
| Title | Machine Learning 2/e |
| Author | Saikat Dutt |
| ISBN | 9788119896738 |
| Publisher | Pearson |
| Binding | Paperback |
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