Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

Andreas Francois Vermeulen

doi:10.1007/978-1-4842-5316-8

Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

Andreas Francois Vermeulen

School of Computer Science

Research output: Book/Report › Book

Abstract

Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors.

Original language	English
Place of Publication	New York, USA
Publisher	Springer
Number of pages	637
Volume	1
Edition	1
ISBN (Electronic)	978-1484253168
ISBN (Print)	978-1484253151
DOIs	https://doi.org/10.1007/978-1-4842-5316-8
Publication status	Published - 1 Dec 2019

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10.1007/978-1-4842-5316-8

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abstract = "Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors.",

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AB - Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors.

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Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

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