Delve into the intricate confluence of AI-driven search, software development, and online education and reflect upon its implications for developers, educators, and tech enthusiasts.
talk-data.com
Speaker
Peter Norvig
3
talks
Peter is a Distinguished Education Fellow at Stanford's Human-Centered Artificial Intelligence Institute and a Google researcher. His vast experience ranges from heading Google's core search algorithms group to teaching AI to over 160,000 online students. Read more: http://www.norvig.com/;
Bio from: Databricks DATA + AI Summit 2023
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After writing an AI textbook in 2020 and a Data Science textbook in 2022, Peter Norvig reflects on how we teach and learn about these fields has changed in recent years. New data and new algorithms have become available, but more importantly, ethical and societal issues have become more prominent, and the question of what exactly we are trying to optimize is paramount.
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Day 2 Morning Keynote | Data + AI Summit 2022 Production Machine Learning | Patrick Wendell MLflow 2.0 | Kasey Uhlenhuth Revolutionizing agriculture with AI: Delivering smart industrial solutions built upon a Lakehouse architecture | Ganesh Jayaram Intuit’s Data Journey to the Lakehouse: Developing Smart, Personalized Financial Products for 100M+ Consumers & Small Businesses | Alon Amit and Manish Amde Workflows | Stacy Kerkela Delta Live Tables | Michael Armbrust AI and creativity, and building data products where there's no quantitative metric for success, such as in games, or web-scale search, or content discovery | Hilary Mason What to Know about Data Science and Machine Learning in 2022 | Peter Norvig Data-centric AI development: From Big Data to Good Data | Andrew Ng
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