Real time Data Science Made Easy - CHIP KENT

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. Subscribe to our Channel Today: Learn more about ODSC👉 @OpenDataScienceCon/about 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? Playlists: All About Generative AI and Generative Modeling: Data Science and AI Career Advice: The Big Picture of AI and Data Science: Related Blogs: Your Guide For Analyzing Real Time Data with Streaming Analytics from SAS® Viya® on Azure: Building a Microservice for Twitter Real-Time Data Collection and Sentiment Analysis: MIT’s New Technique Empowers Machine Learning Models to Address Confidence in Predictions: Top Data Science and AI News: March 2023: How to Become a Data Analyst: Powering Millions of Real-Time Decisions with LyftLearn Serving: Follow ODSC on: LinkedIn: Twitter: Facebook:
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