BUILDING INTELLIGENT SYSTEMS: A GUIDE TO MACHINE LEARNING ENGINEERING

By:

HULTEN, GEOFF

Material type: Text

TextPublication details: New York Apress 2019Description: xxvi, 339pISBN:

9781484246368

Subject(s):

COMPUTER SCIENCE, INTELLIGENT AGENTS (COMPUTER SOFTWARE), ARTIFICIAL INTELLIGENCE, COMPUTING METHODOLOGIES, BIG DATA, DATABASES, ELECTRONIC BOOKS

DDC classification:

006.3/HUL

Summary: This book, how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world.

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Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Programming Language	006.3/HUL (Browse shelf(Opens below))	Available	COMPUTER SCIENCE, INTELLIGENT AGENTS (COMPUTER SOFTWARE), ARTIFICIAL INTELLIGENCE, COMPUTING METHODOLOGIES, BIG DATA, DATABASES, ELECTRONIC BOOKS		SICSR-B-19623

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This book, how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.
Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world.

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