Introduction to prescriptive AI : a primer for decision intelligence solutioning with Python / Akshay Kulkarni, Adarsha Shivananda, Avinash Manure.
2023
Q335 .K85 2023
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Introduction to prescriptive AI : a primer for decision intelligence solutioning with Python / Akshay Kulkarni, Adarsha Shivananda, Avinash Manure.
Author
Kulkarni, Akshay.
ISBN
9781484295687 (electronic bk.)
1484295684 (electronic bk.)
1484295676
9781484295670
1484295684 (electronic bk.)
1484295676
9781484295670
Imprint
[S.l.] : Apress, 2023.
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-1-4842-9568-7 doi
Call Number
Q335 .K85 2023
Dewey Decimal Classification
006.3
Summary
Gain a working knowledge of prescriptive AI, its history, and its current and future trends. This book will help you evaluate different AI-driven predictive analytics techniques and help you incorporate decision intelligence into your business workflow through real-world examples. The book kicks off with an introduction to decision intelligence and provides insight into prescriptive AI and how it can be woven into various business strategies and frameworks. You'll then be introduced to different decision intelligence methodologies and how to implement them, along with advantages and limitations of each. Digging deeper, the authors then walk you through how to perform simulations and interpret the results. A full chapter is devoted to embedding decision intelligence processes and outcomes into your business workflow using various applications. The book concludes by exploring different cognitive biases humans are prone to, and how those biases can be eliminated by combining machine and human intelligence. Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow. You will: Implement full-fledged decision intelligence applications using Python Leverage the tools, techniques, and methodologies for prescriptive AI Understand how prescriptive AI can be used in different domains through practical examples Interpret results and integrate them into your decision making.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 12, 2023).
Added Author
Shivananda, Adarsha.
Manure, Avinash.
Manure, Avinash.
Available in Other Form
Print version: 9781484295670
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Chapter 1: Decision Intelligence Overview
Chapter 2: Decision Intelligence Requirements
Chapter 3: Decision Intelligence Methodologies
Chapter 4: Interpreting Results from Different Methodologies
Chapter 5: Augmenting Decision Intelligence Results into the Business Workflow
Chapter 6: Actions, Biases and Human-in-the-Loop
Chapter 7: Case Studies.
Chapter 2: Decision Intelligence Requirements
Chapter 3: Decision Intelligence Methodologies
Chapter 4: Interpreting Results from Different Methodologies
Chapter 5: Augmenting Decision Intelligence Results into the Business Workflow
Chapter 6: Actions, Biases and Human-in-the-Loop
Chapter 7: Case Studies.