Real-Time Machine Learning
Carly shares insights on how online engineers leverage SQL, Pyspark, and Kafka streams to create low latency gaming experiences with real-time machine learning. She envisions a future where video games feature realistic physics, diverse player demographics, and enhanced mobile integration. Additionally, she highlights her enthusiasm for shap in explainable AI and discusses her preference for using Linux alongside Mac for data science work.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
645: Machine Learning for Video Games — with Carly Taylor
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