Applied data analytics : principles and applications /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Agbinya, Johnson I. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Gistrup, Denmark : River Publishers, [2020]
Colección:River Publishers series in signal, image and speech processing.
Temas:
Big data.
Data mining.
Quantitative research.
Data Mining
Données volumineuses.
Exploration de données (Informatique)
Recherche quantitative.
Big data
Data mining
Quantitative research
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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