Using ML to tackle disruptive behaviors in gaming - Carly Taylor - the data scientist show 045 @thedatascientistshow
Using ML to tackle disruptive behaviors in gaming - Carly Taylor - the data scientist show 045  @thedatascientistshow
Uploaded August 2022 | Updated September 2026, 2 weeks ago
Carly Taylor is a senior manager @ActivisionGames , leading a team of machine learning engineers to tackle disruptive behaviors in the game ‘Call of Duty’. Previously, she has held various roles including machine learning engineer, data scientist, product analyst, Analytical Chemist.
She has a master degree in computational chemistry from the University of Colorado. She’s passionate about video games and cyber security. She shares her insights on machine learning, gaming, and career with 33k LinkedIn followers. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.

Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Carly's Linkedin: linkedin.com/in/carly-taylor0017

0:00 Intro
00:01:14 from chemistry major to data scientist in gaming
00:05:46 how she tackles disruptive behavior using machine learning
00:09:16 disarm the cheaters and keep learning their behaviors
00:11:38 feature engineering and model drift in fraud detection
00:16:49 the challenge of dealing with the large scale of data
00:21:58 how her gaming experience helps her work
00:25:19 how data scientists can protest their data
00:27:10 data science in metaverse
00:36:08 signal processing and anomaly detection
00:40:31 dealing with the outliers
00:45:49 how she gets the buy-ins from the leadership
00:49:56 from an IC to a manager
00:53:36 mentorship, mistakes, and other things she learnt from work
00:58:48 Python or R?
01:05:30 how she sees herself grow and how she deals with struggles
01:07:56 the future of data science in gaming
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Using ML to tackle disruptive behaviors in gaming - Carly Taylor - the data scientist show 045

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