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STUDIES BIG DATA: MACHINE LEARNING: FNDTNS PRCTCL APPS

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Computing & Information Technology

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<P>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.</P>

Machine Learning

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Front Cover.
Other Frontmatter.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
Contents.
Editors and Contributors.
1: What Do RDMs Capture in Brain Responses and Computational Models?.
2: Challenges and Solutions in Developing Convolutional Neural Networks and Long Short-Term Memory Networks for Industry Problems.
3: Speed, Cloth and Pose Invariant Gait Recognition-Based Person Identification.
4: Application of Machine Learning in Industry 4.0.
5: Web Semantics and Knowledge Graph.
6: Machine Learning-Based Wireless Sensor Networks.
7: AI to Machine Learning: Lifeless Automation and Issues.
8: Analysis of FDIs in Different Sectors of the Indian Economy.
9: Customer Profiling and Retention Using Recommendation System and Factor Identification to Predict Customer Churn in Telecom Industry.

Machine Learning.css-1p8rvzy{position:absolute;padding-left:8px;}

Machine Learning