What You Need to Know Before
You Start
Starts 5 June 2026 11:01
Ends 5 June 2026
2 hours 8 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
This short course teaches you how to train, validate, and improve predictive models using practical, industry-ready workflows. You’ll learn to apply supervised and unsupervised algorithms, run 5-fold cross-validation, and interpret metrics like precision, recall, and F1 to understand model reliability.
Through videos, guided reflections, readings, and hands-on labs, you’ll practice building complete pipelines, engineering new features, and evaluating model improvements against performance targets. By the end of the course, you’ll be able to apply validation techniques confidently, iterate on your models using data-driven decisions, and explain performance results clearly to technical and non-technical stakeholders.
Syllabus
- Optimize Vision Datasets: Augment and Analyze
Taught by
ansrsource instructors
Subjects
Artificial Intelligence