MACHINE LEARNING FOR DECISION MAKERS
Material type: TextPublication details: New York Apress 2019Description: xxxv, 355pISBN:- 9781484240434
- 519.5/KAS
Item type | Current library | Call number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|
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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