Terisa Roberts - Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning

1. Chapter 1
2. Chapter 2
3. Chapter 4
4. Chapter 7
5. Chapter 8
6. Chapter 9

1. Chapter 2
2. Chapter 3
3. Chapter 4
4. Chapter 5
5. Chapter 6
6. Chapter 7
7. Chapter 8
8. Chapter 9

The Wiley and SAS Business Series presents books that help senior level managers with their critical management decisions.

Titles in the Wiley and SAS Business Series include:

• The Analytic Hospitality Executive: Implementing Data Analytics in Hotels and Casinos by Kelly A. McGuire
• Analytics: The Agile Way by Phil Simon
• The Analytics Lifecycle Toolkit: A Practical Guide for an Effective Analytics Capability by Gregory S. Nelson
• Anti-Money Laundering Transaction Monitoring Systems Implementation: Finding Anomalies by Derek Chau and Maarten van Dijck Nemcsik
• Artificial Intelligence for Marketing: Practical Applications by Jim Sterne
• Business Analytics for Managers: Taking Business Intelligence Beyond Reporting (Second Edition) by Gert H. N. Laursen and Jesper Thorlund
• Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning by Michael Gilliland, Len Tashman, and Udo Sglavo
• The Cloud-Based Demand-Driven Supply Chain by Vinit Sharma
• Consumption-Based Forecasting and Planning: Predicting Changing Demand Patterns in the New Digital Economy by Charles W. Chase
• Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS by Bart Baesen, Daniel Roesch, and Harald Scheule
• Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain (Second Edition) by Robert A. Davis
• Economic Modeling in the Post Great Recession Era: Incomplete Data, Imperfect Markets by John Silvia, Azhar Iqbal, and Sarah Watt House
• Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models by Keith Holdaway and Duncan Irving
• Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection by Bart Baesens, Veronique Van Vlasselaer, and Wouter Verbeke
• Intelligent Credit Scoring: Building and Implementing Better Credit Risk Scorecards (Second Edition) by Naeem Siddiqi
• JMP Connections: The Art of Utilizing Connections in Your Data by John Wubbel
• Leaders and Innovators: How Data-Driven Organizations Are Winning with Analytics by Tho H. Nguyen
• On-Camera Coach: Tools and Techniques for Business Professionals in a Video-Driven World by Karin Reed
• Next Generation Demand Management: People, Process, Analytics, and Technology by Charles W. Chase
• A Practical Guide to Analytics for Governments: Using Big Data for Good by Marie Lowman
• Profit from Your Forecasting Software: A Best Practice Guide for Sales Forecasters by Paul Goodwin
• Project Finance for Business Development by John E. Triantis
• Smart Cities, Smart Future: Showcasing Tomorrow by Mike Barlow and Cornelia Levy-Bencheton
• Statistical Thinking: Improving Business Performance (Third Edition) by Roger W. Hoerl and Ronald D. Snee
• Strategies in Biomedical Data Science: Driving Force for Innovation by Jay Etchings
• Style and Statistics: The Art of Retail Analytics by Brittany Bullard
• Text as Data: Computational Methods of Understanding Written Expression Using SAS by Barry deVille and Gurpreet Singh Bawa
• Transforming Healthcare Analytics: The Quest for Healthy Intelligence by Michael N. Lewis and Tho H. Nguyen
• Visual Six Sigma: Making Data Analysis Lean (Second Edition) by Ian Cox, Marie A. Gaudard, and Mia L. Stephens
• Warranty Fraud Management: Reducing Fraud and Other Excess Costs in Warranty and Service Operations by Matti Kurvinen, Ilkka Tyryl, and D. N. Prabhakar Murthy

For more information on any of the above titles, please visit www.wiley.com.

Terisa Roberts

Stephen J. Tonna

Copyright 2022 by SAS institute, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.
Published simultaneously in Canada.

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ISBN 9781119824930 (Hardback)
ISBN 9781119824954 (ePDF)
ISBN 9781119824947 (epub)

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