645: Machine Learning for Video Games

Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages. This episode is brought to you by Kolena (https://kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • The relationship between data science and cyber security [4:49] • The importance of low-latency for an optimal gaming experience [9:15] • The future of gaming [18:13] • Carly's thoughts on the Metaverse [25:43] • Carly’s favorite operating systems, software packages, and keyboards [30:27] • How to transition from a quantitative academic background into data science [45:28] • Why Carly is called the “Rebel Data Scientist” [53:27] • How to file a patent [57:21] Additional materials: www.superdatascience.com/645

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.