Cantitate/Preț
Produs
Total produse
Vezi coșul
Machine Learning: Algorithms and Applications de Mohssen Mohammed

Machine Learning: Algorithms and Applications

Autor Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier
en Limba Engleză Hardback – 18 iul 2016
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 35464 lei  43-57 zile
  CRC Press – 30 iun 2020 35464 lei  43-57 zile
Hardback (1) 70899 lei  43-57 zile
  CRC Press – 18 iul 2016 70899 lei  43-57 zile

Preț: 70899 lei

Preț vechi: 88624 lei
-20% Nou

Puncte Express: 1063
Preț estimativ în valută:
13569€ • 14094$ • 11271£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781498705387
ISBN-10: 1498705383
Pagini: 226
Ilustrații: 49
Dimensiuni: 156 x 234 x 19 mm
Greutate: 1 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Cuprins

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. 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.