Synthetic Data : Advanced Concepts and Applications / with Madecraft and Michael Galarnyk

Format:

Video

Author/Creator:

, Madecraft, speaker.

Contributor:

Galarnyk, Michael, speaker.

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

digital

Summary:

Learn advanced synthetic data concepts and applications to effectively leverage synthetic data in your industry.

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. This course was created by Madecraft. We are pleased to host this content in our library.

Participant:

Presenter: Madecraft

Notes:

1/03/2024

Access Restriction:

Restricted for use by site license.