Data Privacy, AI Regulation, and Beyond: Legal Essentials for Data Scientists
Data Science Festival via YouTube
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Explore practical approaches to improving supply path optimization, balancing trade-offs between cost and performance, and scaling models to handle vast amounts of real-time data in this 35-minute talk by Zak Reynolds, Data Scientist at The Trade Desk. Learn valuable strategies and best practices for applying machine learning to real-world challenges while understanding the legal essentials related to data privacy and AI regulation that data scientists need to know.
Syllabus
Data Privacy, AI Regulation, and Beyond: Legal Essentials for Data Scientists
Taught by
Data Science Festival