Description
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(as of Apr 21, 2024 18:36:11 UTC – Details)
Table of Contents:
1 Introduction to Machine Learning
2 Preparing to Model
3 Modelling and Evaluation
4 Basics of Feature Engineering
5 Brief Overview of Probability
6 B ayesian Concept Learning
7 Super vised Learning: Classification
8 Super vised Learning: Regression
9 Unsupervised Learning
10 Basics of Neural Network
11 Other Types of Learning
1 Introduction to Machine Learning
2 Preparing to Model
3 Modelling and Evaluation
4 Basics of Feature Engineering
5 Brief Overview of Probability
6 B ayesian Concept Learning
7 Super vised Learning: Classification
8 Super vised Learning: Regression
9 Unsupervised Learning
10 Basics of Neural Network
11 Other Types of Learning
From the Publisher
Salient Features
Publisher : Pearson Education; First edition (1 October 2018)
Language : English
Paperback : 456 pages
ISBN-10 : 9353066697
ISBN-13 : 978-9353066697
Item Weight : 530 g
Dimensions : 23.5 x 17.2 x 2.2 cm
Country of Origin : India
