Fr. 140.00

Machine Learning - Algorithms and Applications

English · Hardback

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Informationen zum Autor Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier Klappentext Machine learning, one of the top emerging sciences, has an extremely broad range of applications. Zusammenfassung Machine learning, one of the top emerging sciences, has an extremely broad range of applications. Inhaltsverzeichnis 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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