Practical simulations for machine learning /Paris using synthetic data for AI

By:

Paris

Contributor(s):

Mars Buttfield-Addison, Tim Nugent & Jon Manning

Language: English Publication details: c2022 Sebastopol, California O'Reilly MediaEdition: 1st edDescription: xv, 313 p. ill. 23 cmISBN:

9789355422705

Subject(s):

Machine learning; Artificial intelligence Computer simulation; Apprentissage automatique Simulation

DDC classification:

006.31 PAR

Summary: Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 PAR (Browse shelf(Opens below))		Available	692434
English Books	Anna Centenary Library 3RD FLOOR, A WING	006.31 PAR;1 (Browse shelf(Opens below))	1	Available	692435

Reprint, 2022

Includes index

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning.

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Practical simulations for machine learning /Paris using synthetic data for AI

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