Practical Machine Learning Techniques to Combat Fraud, Waste and Abuse

November 15, 2017 | 1 p.m. EDT

Duration: 60 minutes

CPE Credit: 1 

Description: Criminals are becoming more sophisticated every day. As traditional fraud schemes fail to pay off, fraudsters have changed with the times. The good news is that with advances in machine learning systems can learn, adapt and uncover emerging fraud patterns automatically. The challenge with machine learning is that there is a lot of hype and buzz, the “language” of machine learning is complicated, and there are few practical guides on its application you can apply to real-world situations. 

This webinar will cover the lifecycle of machine learning including exploratory analysis, feature engineering, model building, scoring and integration, as well as practical techniques and novel uses of machine learning to combat fraud, waste and abuse.  

Field of Study: Specialized Knowledge 

Course Level: Basic

Prerequisite: None

Advanced Preparation: None 

Delivery Format: Group Internet Based 

You Will Learn How To:

  • Determine practical approaches and applications of machine learning to combat fraud, waste and abuse
  • Recall the terms and language of machine learning
  • Apply machine learning in real-world case studies
  • Identify 10 keys to a successful machine learning project 

Speaker:  

Mike Ames
Senior Director, Data Science & Emerging Technology
SAS

Mike Ames leads the data science group for SAS' Fraud and Security Intelligence practice. Ames started the group in 2011 with three Ph.D. statisticians and a graduate intern, and was initially focused on SAS’ in-memory technologies and integration with Hadoop. Today the group has grown over five-fold and includes a global research and development team focused on bringing new and emerging technology from SAS to market. His group’s current areas of focus include real-time surveillance and investigation tools for fraud detection and compliance monitoring. Ames holds a BBA in economics and did his graduate work in computer science at the University of Georgia. He earned an MBA from the University of North Carolina, Chapel Hill.   


Sponsored by SAS   



SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 65,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW.
SAS.com 

Information you provide during the registration of this webinar will be provided to the sponsor, SAS, and may be used to send you information, special offers or promotions from SAS.