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: eBook
Language: English
Published: Gistrup, Denmark : River Publishers, [2020]
Series: River Publishers series in signal, image and speech processing.
Subjects:
Big data.
Data mining.
Quantitative research.
elektronické knihy
electronic books
ISBN: 9788770220958
8770220956
8770220964
9788770220965
Physical Description: 1 online resource (xxxii, 336 pages) : illustrations

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Table of contents

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001 kn-on1163958139
003 OCoLC
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006 m o d
007 cr cn|||||||||
008 200710t20202020dk a ob 001 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d EBLCP  |d N$T  |d YDXIT  |d OCLCF  |d OCLCQ  |d OSU  |d OCLCO  |d UX1  |d VT2  |d OCLCO  |d OCLCQ  |d YDX  |d OCLCQ  |d OCLCO  |d OCLCL  |d SXB  |d OCLCQ  |d OCLCO 
020 |a 9788770220958  |q (electronic book) 
020 |a 8770220956  |q (electronic book) 
020 |z 8770220964  |q (hardback) 
020 |z 9788770220965  |q (hardback) 
035 |a (OCoLC)1163958139  |z (OCoLC)1163532891  |z (OCoLC)1260322237  |z (OCoLC)1262669233 
100 1 |a Agbinya, Johnson I.,  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjFX9kYBCBKw9Xb8J7yJH3 
245 1 0 |a Applied data analytics :  |b principles and applications /  |c Johnson I. Agbinya, Melbourne Institute of Technology Australia. 
264 1 |a Gistrup, Denmark :  |b River Publishers,  |c [2020] 
264 4 |c ©2020 
300 |a 1 online resource (xxxii, 336 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a River Publishers series in signal, image and speech processing 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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 visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Big data. 
650 0 |a Data mining. 
650 0 |a Quantitative research. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |z 8770220964  |z 9788770220965  |w (OCoLC)1097678160 
830 0 |a River Publishers series in signal, image and speech processing. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpADAPA003/applied-data-analytics?kpromoter=marc  |y Full text 

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