Join us in Boston for the latest in Data Science, AI, & Machine Learning – Enjoy our complementary pass today:
Join us for an insightful talk by Caltech PhD Chip Kent shares his decades of quantitative, mathematical, and computer science experience to make real-time data science accessible and easy. From investing and big data to quantum mechanics and nuclear weapons simulations, Chip has solved interesting and difficult quantitative problems. He discusses how mathematical analysis and value investing require rational decision-making under uncertain circumstances. Chip also specializes in technical project management, software development, research, and physics and chemistry. Join us for an informative session with Chip Kent.
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Key Topics:
0:00 - Introductions
1:04 - Scope of this talk
2:10 - Outline
2:40 - Why real-time?
8:35 - Build Real-Time Data Science Systems
10:29 - Where real-time data moves and lives
22:15 - Design Patterns
22:15 - Make it easy to write, test, run, and reproduce your analytics
29:06 - Review
30:45 - Questions?
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