contact us
Solutions
By Topic
Supply Chain
Customer 360
Fraud Detection
Graph Technology
Data Products & ML
Identity Management & Entitlements
By Industry
Financial Services
Retail
Energy
Life Sciences & Health Care
Services
UX for Complexity
Assessments
Rapid Prototyping
Modernization
Custom Software
Expert Training Courses
Products
Supply Chain
Radiant Path
Fraud detection
Fraud Detection & Investigation Toolkit
Contact Tracing
Overview
Combat the Curve Game
Future Trace
BackTrack
Resources
Gallery
Case Studies
Demos
Blog
Events
About Us
Contact Us
Merch
Leadership
Careers
contact us
CONTACT US
Thank you!
We got your message and we'll reach out to you shortly.
In the meantime, check out our Gallery!
view our gallery
Something went wrong while submitting the form, please try again!
Share
Online Seminar
Graph & Machine Learning for Fraud Detection
Tags:
Fraud Detection
Data Science & Machine Learning
Life Sciences & Health Care
Summary:
Use Machine Learning and Graph to Stop Fraud Before it Starts
Graph 101 for Fraud Avoidance
Fraud Machine Learning Algorithms
Visualizations for Fraud Avoidance
Demo: Credit Card Banking
Presented By
No items found.
Related Content
Lightning Talk
Linear Regression in Machine Learning
Simple Models
Line of Best Fit
Scatter Plots
Customer Satisfaction
Online Seminar
Data Products: What Product Managers Need to Know about Productizing Data Science
Help data science teams produce value
Data Science development cycles
How much data do I need to do X?
Syncing product and data science teams
Demo
Customer 360: Healthcare
Next Best Conversation
Patient 360
Customer Journey
Claims Interaction
CASE Study
GroundMetrics
Is it possible to decrease the time required to image CO2 storage by a factor of a million?
Blog
What Machine Learning Can Learn from Graph
Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.
More About
Fraud Detection
>
More About
Data Science & Machine Learning
>
More About
Life Sciences & Health Care
>
Subscribe to our quarterly newsletter
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
.svg){kind=icon}
