Reliable Machine Learning
Intermediate
32 Lessons
8h
Certificate of Completion
Takeaway Skills
An understanding of different types of testing and their importance in ML applications
Familiarity with using Pytest to enhance the robustness of machine learning systems
An in-depth understanding of the best (and worst) practices of testing
Hands-on experience monitoring machine learning applications for issues
Course Overview
Ensuring the reliability and robustness of machine learning models is essential to building successful ML-powered applications. This course begins with a thorough introduction to software testing essentials, particularly use cases within the machine learning context. You’ll learn about topics related to software testing, including unit and integration testing and more advanced testing techniques. Next, you’ll learn the best practices in software testing and dive into ML-specific testing techniques, such as...Show More
Course Content
Introduction to Reliable ML
Software Testing
Best and Worst Practices
ML-Specific Tests
ML Software Reliability outside of Tests
Wrapping Up
1 Lesson
Appendix
2 Lessons
How You'll Learn
You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.
Videos are holding you back. Educative‘s interactive, text-based lessons accelerate learning — no setup, downloads, or alt-tabbing required.
Learn faster and smarter with adaptive AI tools embedded in every Educative course.
Built-in assessments let you test your skills. Completion certificates let you show them off.
Recommended Courses
BEFORE STARTING THIS COURSE
AFTER FINISHING THIS COURSE