Synthetic Data: Advanced Concepts and Applications
With Michael Galarnyk and Madecraft
Liked by 65 users
Duration: 38m
Skill level: Advanced
Released: 1/3/2024
Course details
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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructors
Learner reviews
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 2 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.