Applied data analytics : principles and applications.

By:

Agbinya, Johnson I

Material type: Text

TextSeries: River Publishers series in signal, image and speech processingPublisher: Gistrup, Denmark : River Publishers, [2020]Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9788770220958
8770220956

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Print version:: No titleDDC classification:

005.7 23

LOC classification:

QA76.9.B45 A33 2020

Online resources:

EBSCOhost

Summary: 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 evo.

Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
eBook	e-Library	EBSCO Computers		Available

Total holds: 0

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 evo.

Master record variable field(s) change: 050