Machine Learning: Algorithms and Applications
Autor Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashieren Limba Engleză Hardback – 18 iul 2016
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Specificații
ISBN-13: 9781498705387
ISBN-10: 1498705383
Pagini: 226
Ilustrații: 49
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.5 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1498705383
Pagini: 226
Ilustrații: 49
Dimensiuni: 156 x 234 x 19 mm
Greutate: 0.5 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
AcademicCuprins
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.
Notă biografică
Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
Descriere
Machine learning, one of the top emerging sciences, has an extremely broad range of applications.