Machine Learning Based Fraud Detection in Banking
Fraudulent actors are always looking for new ways to subvert legitimate transaction systems; traditional rules-based approaches are no longer sufficient (or efficient enough) to combat fraud. In this webinar, we’ll discuss best practices and examples on how machine learning can improve fraud detection capabilities.
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BANANA DATA PODCAST: https://bit.ly/36UFgDs
Linkedin: https://bit.ly/3lXyRMb
Twitter: @dataiku
Instagram: @dataiku
Fraudulent actors are always looking for new ways to subvert legitimate transaction systems; traditional rules-based approaches are no longer sufficient (or efficient enough) to combat fraud. In this webinar, we’ll discuss best practices and examples on how machine learning can improve fraud detection capabilities.
CHECK OUT DATAIKU: https://bit.ly/36XBlpK
EGG ON AIR: https://bit.ly/37GhXMY
BRIGHTTALK WEBINARS: https://bit.ly/33TIRjn
DATA SCIENCE PIONEERS DOCUMENTARY: https://bit.ly/36V3rBF
PARTNER ECOSYSTEM: https://bit.ly/3oCbk5k
DATAIKU ACADEMY: https://bit.ly/2LjsEgZ
DATAIKU COMMUNITY: https://bit.ly/2K8lOtV
DATA SCIENCE AND ANALYTICS MEETUPS: https://bit.ly/3n0ar5R
BANANA DATA PODCAST: https://bit.ly/36UFgDs
Linkedin: https://bit.ly/3lXyRMb
Twitter: @dataiku
Instagram: @dataiku