IBM Safer Payments v6.9: Modeling

Course overview

In this course, all of the IBM Safer Payments model capabilities are presented in detail.

In this course, all of the IBM Safer Payments model capabilities are presented in detail. The following modelling concepts are covered: index, profiling techniques (with and without index sequence), model components comprised of rulesets, PMML, Python and Internal Random Forest, elements of the simulation environment including Rule Generation and Internal Random Forest, as well as the sampling techniques. All these concepts will be followed by the hands-on exercises.

Who should attend

• External: Fraud Analysts, Application and System Admins managing Safer Payments (optional) • Internal: IBM Lab Services, IBM Support, IBM Technical Pre-Sales and IBM Business Partners

Prerequisites

• Must be familiar with Unix command line navigation and configuration actions • Some familiarity with statistical models • Knowledge in Fraud Prevention for cashless payments

Delivery formats

• • Instructor-led online (virtual classroom)
• • Instructor-led on-site at your premises
• • Self-paced online training
• • Private/closed group delivery for corporate teams

Related and follow-on courses

• WM688G — IBM App Connect Enterprise 12 Application Development III (Advanced)
• 6A902G — IBM Safer Payments Technical Primer v6.9 (Intermediate)
• 6A922G — IBM Safer Payments v6.9: Sys Ops (Intermediate)
• 6A942G — IBM Safer Payments v6.9: Case Management (Intermediate)