Machine Learning: Algorithms and Applications

Author:   Mohssen Mohammed ,  Muhammad Badruddin Khan ,  Eihab Bashier Mohammed Bashier
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367574673


Pages:   226
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
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Machine Learning: Algorithms and Applications


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Author:   Mohssen Mohammed ,  Muhammad Badruddin Khan ,  Eihab Bashier Mohammed Bashier
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9780367574673


ISBN 10:   0367574675
Pages:   226
Publication Date:   30 June 2020
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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.

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Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier

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