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Machine Learning Applications in E-Commerce Fraud Detection

Internet fraud has costed billions of dollars in the past decade. For websites with medium to large user traffic, it is important to leverage various technologies to manage the exposure and risk from online fraud. Machine Learning technology and products can play a critical role in building a strong defense line against online fraud.  In this talk, Tong will discuss some of the best practices in this application field. The talk will include discussions on ML algorithms like logistic regression and Neutral Networks, and also include broader discussions on how ML fits into the overall picture of fraud detection and non ML-based solutions that combat fraud effectively.

Speaker Bio: Tong Li joined eBay in 2002 as one of the founding team members of eBay Trust and Safety group. He built the first machine learning fraud detection model at eBay,  led a 50+ people Trust Science team at eBay in the past decade, and worked with partner teams to build eBay fraud detection system from ground up to protect billions of transactions and hundreds of millions of users from global online fraudsters. Prior to eBay, Tong served as the head of underwriting modeling team in Providian focusing on credit and fraud risk management in financial service industry. Tong is currently working on getting an early stage data science startup off the ground.  

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  • Xinghua L.

    embarrassingly, i could not find a parking spot. any guideline from the organizers regarding parking? thanks.

    January 24, 2014

    • Herb

      Try Peet's next door. they are usually closed by that time.

      January 25, 2014

  • Tong L.

    Thanks everyone for coming out to attend the talk on Friday evening. If you are there and interested in getting a copy of the deck, please send me an email [masked] and also your linkedIn profile page (for fraud vetting). Thanks and enjoy the weekend.

    4 · January 24, 2014

    • Harshit B.

      Thanks a lot Tong. It was quite insightful. It was one of the best I had at Hacker Dojo.

      1 · January 25, 2014

  • Harshit B.

    Excellent

    January 25, 2014

  • A former member
    A former member

    A very good presentation, and well worth my time on a Friday evening. Great to see practical, real-world considerations put out there ...

    I have a request of the organizers, however: the presentation was delayed by nearly a half hour as we waited for people to show up. No doubt, it is difficult for some to make the commute by 6:30. Better, then, to be realistic and actually schedule events for 7:00, and start promptly.

    1 · January 25, 2014

  • Atul P.

    Thanks Tong for making such a nice presentation and sharing loads of information with real business use cases.

    January 25, 2014

  • Simon

    We are looking for some NN people to help with a project to Save Rhinos in Africa from being Poached to Extinction. Those who can give a hand, please email me at [masked]
    Our website is https://sites.google.com/site/ba­...­
    Thank you.

    January 24, 2014

    • Alexey V.

      Your link is broken. Can you provide valid one?

      January 24, 2014

  • nishant

    i wont be able to reach there on time. will there be any recording or live steaming

    January 24, 2014

  • Sanjay S.

    nice topic..pls do connect

    http://shroff.ca
    http://linkd.in/sshroff

    January 24, 2014

  • Jiunjiun M.

    I won't be able to attend due to time conflict with another event. Is it possible to have a recording of the session? Thanks.

    1 · January 22, 2014

  • Salem A.

    Thanks, I'll be there

    December 25, 2013

  • Anila J.

    Is there a recording of this session that can be shared?

    1 · December 17, 2013

  • Jay C.

    Sound good~ any online stream in Dec, 13?

    November 25, 2013

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