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MACHINE LEARNING FOR DECISION MAKERS

By: Material type: TextTextPublication details: New York Apress 2019Description: xxxv, 355pISBN:
  • 9781484240434
Subject(s): DDC classification:
  • 519.5/KAS
Summary: This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. Uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.
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Item type Current library Call number Status Notes Date due Barcode
Books Books Symbiosis Institute of Computer Studies and Research Programming Language 519.5/KAS (Browse shelf(Opens below)) Checked out COMPUTER SCIENCE, DECISION MAKING, MACHINE LEARNING, MATHEMATICS - APPLIED, PROBABILITY & STATISTICS, COMPUTING METHODOLOGIES, SOFTWARE ENGINEERING, ALGORITHM ANALYSIS AND PROBLEM COMPLEXITY, ALGORITHMS & DATA STRUCTURES, ARTIFICIAL INTELLIGENCE, ELECTRONIC BOOK 22/06/2024 SICSR-B-19625

This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making.
Uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business.

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