Kulkarni A. Introduction to Prescriptive AI. A Primer...with Python 2023 torrent

Textbook in PDF format

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.
Prescriptive AI, also known as prescriptive analytics, is used to provide recommendations on what actions to take based on the predictions made by predictive AI. It involves using optimization algorithms to identify the best course of action based on a set of constraints and objectives. Prescriptive AI is often used in supply chain management, logistics, and resource-planning applications.
Prescriptive AI typically involves analyzing large amounts of data using machine learning algorithms to identify patterns and relationships between variables. It then uses this analysis to provide recommendations or decisions that can optimize business processes, improve customer experiences, or achieve other desired outcomes.
Upon completing this book, you will understand prescriptive AI, tools, and techniques and will be ready to incorporate them into your business workflow.
What You Will Learn:
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
Who This Book Is For:
Data Scientists and Machine Learning Engineers, as well as business professionals who want to understand how AI-driven decision intelligence can help grow their business.
Contents:
1. Decision Intelligence Overview
2. Decision Intelligence Requirements
3. Decision Intelligence Methodologies
4. Interpreting Results from Different Methodologies
5. Augmenting Decision Intelligence Results into the Business Workflow
6. Actions, Biases, and Human-in-the-Loop
7. Case Studies