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| Machine Learning: Algorithms and Applications from CRC Press | ||||||
 CRC Press has published Machine Learning: Algorithms and Applications.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. Features include: * Explains the concepts of machine learning algorithms * Describes the application areas of each algorithm discussed * Uses simple, practical examples to help readers understand each algorithm Table of Contents includes: 1. Introduction to Machine Learning 2. Decision Trees 3. Rule-Based Classifiers 4. Naive Bayesian Classification 5. The k-Nearest Neighbors Classification 6. Neural Networks 7. Linear Discriminant Analysis 8. Support Vector Machine 9. k-Means Clustering 10. Gaussian Mixture Model 11. Hidden Markov Model 12. Principal Component Analysis For more information, visit https://www.crcpress.com/Machine-Learning-Algorithms-and-Applications/Mohammed-Khan-Bashier/p/book/9781498705387 |
