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Machine Learning: Algorithms and Applications - Research Book

Machine Learning: Algorithms and Applications - Research Book

Good Research Book in Machine Learning: Algorithms and Applications

Author(s) Name:  Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier

About the Book:

   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.

Table of Contents

  • Exact String Matching Algorithms
  •   Brute-Force Algorithm
      ho-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
  • Unsupervised Learning
  •   Bayes Rule
      Factor Analysis
      Principal Components Analysis
      Independent Components Analysis
      Mixture of Gaussians

    ISBN:  9780367574673

    Publisher:  CRC Press Publisher

    Year of Publication:  2017

    Book Link:  Home Page Url