Applied data analytics : principles and applications

This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and vis...

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Bibliographic Details
Main Author Agbinya, Johnson I. (Author)
Format Electronic eBook
LanguageEnglish
Published Gistrup, Denmark : River Publishers, [2020]
SeriesRiver Publishers series in signal, image and speech processing.
Subjects
Big data.
Data mining.
Quantitative research.
elektronické knihy
electronic books
Online AccessFull text
ISBN9788770220958
8770220956
8770220964
9788770220965
Physical Description1 online resource (xxxii, 336 pages) : illustrations

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Table of Contents:
  • Markov Chain and its Applications
  • Hidden Markov Modelling (HMM)
  • Introduction to Kalman Filters
  • Kalman Filters II
  • Genetic Algorithm
  • Calculus on Computational Graphs
  • Support Vector Machines
  • Artificial Neural Networks
  • Training of Neural Networks
  • Recurrent Neural Networks
  • Convolutional Neural Networks
  • Principal Component Analysis
  • Moment-Generating Functions
  • Characteristic Functions
  • Probability-Generating Functions
  • Digital Identity Management System Using Neural Networks
  • Probabilistic Neural Networks Classifiers for IoT Data Classification
  • MML Learning and Inference of Hierarchical Probabilistic Finite State Machines.

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