The Value of Synthetic Data
This is a free preview video from the Synthetic Data: Advanced Concepts and Applications Course: / unlock-the-power-of-synthetic-data
We use data to make decisions, understand trends, and optimize processes. And data is a key component of machine learning. But collecting data that has the quality, quantity, and diversity that you need for your machine learning use case can be time-consuming and difficult. In this course, discover how you can use synthetic data—artificially generated information, not data collected from real world events—for machine learning. Learn how to generate synthetic data, how to combine it with real data, and important differences between synthetic and real data. Get tips and tricks to optimize your training performance, and find out how to recognize synthetic data problems. Check out this course to learn how to recognize when synthetic data is needed, how to select data generation methods, and leverage various model-training strategies.
00:00: Why do you need synthetic data
00:26: Privacy issues with real data (healthcare and PII)
00:46: Safety issues with real data (self-driving cars and drones)
01:20: Real data collection and labeling are not scalable (annotating medical images)
02:04: The real data you have is not ideal (not enough data to properly train a model)
Watch video The Value of Synthetic Data online without registration, duration hours minute second in high quality. This video was added by user Michael Galarnyk 05 January 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 790 once and liked it 8 people.