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Machine Learning: Algorithms and Applications book cover

1st Edition

Machine Learning Algorithms and Applications

By Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier Copyright 2017
226 Pages
by CRC Press

226 Pages 49 B/W Illustrations
by CRC Press

226 Pages 49 B/W Illustrations
by CRC Press
Also available as eBook on:
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,... Read more

Exact String Matching Algorithms. Brute-Force Algorithm. Aho-Corasick Algorithm. Boyer-Moore Algorithm. Rabin–Karp Algorithm. Knuth–Morris–Pratt Algorithm. Approximate String Matching Algorithms. Longest Common Subsequence. Longest Increasing Subsequence. Longest Common Substring. Supervised Learning. Decision Trees. C4.5 Algorithm. RIPPER Algorithm. Perceptron-Based Techniques. Naive Bayes Classifiers. Bayesian Networks. Instance-Based Learning. Support Vector Machines. Unsupervised Learning. Bayes Rule. Factor Analysis. Principal Components Analysis (PCA). Independent Components Analysis (ICA). Mixture of Gaussians. K-Means. Expectation-Maximization (EM) Algorithm. State-Space Models (Ssms). Hidden Markov Models (Hmms). Undirected Graphs. Directed Graphs. Factor Graphs.

Biography

Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier

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