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Industrial Machine Learning: Using Artificial Intelligence as a Transformational Disruptor

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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.

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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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

681 AND i

Penerbit

New York : Apress., 2020

Deskripsi Fisik

xxiii + 637 hlm.; 29 cm

Bahasa

English

ISBN/ISSN

9781484253151

Klasifikasi

681

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

AI

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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