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Machine Learning: Theoretical Foundations and Practical Applications - Research Book

Machine Learning: Theoretical Foundations and Practical Applications - Research Book

Trending Research Book in Machine Learning: Theoretical Foundations and Practical Applications

Author(s) Name:  Manjusha PandeySiddharth Swarup Rautaray

About the Book:

   This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.

Table of Contents

  • What Do RDMs Capture in Brain Responses and Computational Models?
  • Challenges and Solutions in Developing Convolutional Neural Networks and Long Short-Term Memory Networks for Industry Problems
  • Speed, Cloth and Pose Invariant Gait Recognition-Based Person Identification
  • Application of Machine Learning in Industry 4.0
  • Web Semantics and Knowledge Graph
  • Machine Learning-Based Wireless Sensor Networks
  • AI to Machine Learning: Lifeless Automation and Issues
  • Analysis of FDIs in Different Sectors of the Indian Economy
  • Customer Profiling and Retention Using Recommendation System and Factor Identification to Predict Customer Churn in Telecom Industry
  • ISBN:   978-981-33-6518-6

    Publisher:  Springer

    Year of Publication:   2021

    Book Link:  Home Page Url