Industrial machine learning: using artificial intelligence as a transformational disruptor

By:

Vermeulen, Andreas Francois

Material type: Text

TextPublication details: Apress New York 2021Description: xxiii, 637 pISBN:

9781484267349

Subject(s):

DDC classification:

006.31 VER

Summary: About this book Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes.

List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	006.31 VER (Browse shelf(Opens below))	1	Available		003717

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Previous	006.31 SIL Beginning with deep learning using TensorFlow: a beginner’s guide to TensorFlow and Keras for practicing deep learning principles and applications	006.31 SRI Machine learning	006.31 THA Data science and machine learning in R	006.31 VER Industrial machine learning:	006.31 WIC Machine learning:	006.31015192 MUR Probabilistic machine learning: advanced topics	006.312 AGG Data mining: the textbook	Next

About this book
Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science.

Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes.

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