Machine learning: algorithms and applications
Mohammed, Mohssen
creator
Khan, Muhammad Badruddin
Co author
Bashier, Eihab Bashier Mohammed
Co author
text
Florida
CRC Press
2017
monographic
| 0
xxii, 204p. With index
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied.
https://www.crcpress.com/Machine-Learning-Algorithms-and-Applications/Mohammed-Khan-Bashier/p/book/9781498705387
CONTENTS
Introduction
1 Introduction to Machine Learning
SECTION I: SUPERVISED LEARNING ALGORITHMS
2 Decision Trees
3 Rule-Based Classifiers
4 Naïve Bayesian Classification
5 The k-Nearest Neighbors Classifiers
6 Neural Networks
7 Linear Discriminant Analysis
8 Support Vector Machine
SECTION II: UNSUPERVISED LEARNING ALGORITHMS
9 k-Means Clustering
10 Gaussian Mixture Model
11 Hidden Markov Model
12 Principal Component Analysis
Appendix I: Transcript of Conversations with Chatbot
Appendix II: Creative Chatbot
Machine learning
Computer algorithms
Machine learning - Mathematical models
006.312 M6M2
9781498705387
190502