Machine Learning for Beginners

Author:

Harsh Bhasin

Publisher:

BPB Publications

Rs659 Rs749 12% OFF

Availability: Available

    

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Publisher

BPB Publications

Publication Year 2020
ISBN-13

9789389845426

ISBN-10 9389845424
Binding

Paperback

Number of Pages 262 Pages
Language (English)
Weight (grms) 458

This book covers important concepts and topics in Machine Learning. It begins with Data Cleansing and presents an overview of Feature Selection. It then talks about training and testing, cross-validation, and Feature Selection. The book covers algorithms and implementations of the most common Feature Selection Techniques. The book then focuses on Linear Regression and Gradient Descent. Some of the important Classification techniques such as K-nearest neighbors, logistic regression, Naïve Bayesian, and Linear Discriminant Analysis are covered in the book. It then gives an overview of Neural Networks and explains the biological background, the limitations of the perceptron, and the backpropagation model. The Support Vector Machines and Kernel methods are also included in the book. It then shows how to implement Decision Trees and Random Forests.

Harsh Bhasin

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