Machine learning for Beginners: Learn to build learning systems using Python

By:

Bhasin, Harsh

Material type: Text

TextPublication details: New Delhi: BPB Publication: 2020.Edition: 1 EdDescription: i-xvii+244pISBN:

9789389845426

Subject(s):

Classification algorithms- Machine Learning- Mathematical Modelling

DDC classification:

006.31 BHA.M

Contents:

An Introduction to ML Preprocessing and feature selection Regression Classification Neural Network I-The perception Neural Network II-The Multi layer perception Support vector machine Decision trees Clustering Feature extraction

Summary: Towards the end, the book gives a brief overview of unsupervised learning. Various feature extraction techniques, such as fourier transform, STFT, and local Binary patterns are covered.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	School of Distance Education, University of Kerala, Kariavattom Campus General Stacks	School of Distance Education, University of Kerala, Kariavattom Campus	006.31 BHA.M (Browse shelf(Opens below))	Available		SDE28883

This books covers important concepts and topics in ML. This book coveres algorithms and implementations of the most common features selection techniques. It begins with Data cleansing and presents an overview of feature selection.

An Introduction to ML
Preprocessing and feature selection
Regression
Classification
Neural Network I-The perception
Neural Network II-The Multi layer perception
Support vector machine
Decision trees
Clustering
Feature extraction

Towards the end, the book gives a brief overview of unsupervised learning. Various feature extraction techniques, such as fourier transform, STFT, and local Binary patterns are covered.

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