Machine Learning 2/e

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ISBN-13: Available on request

Binding: Paperback

Pages: Standard

Language: English

              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
            