Machine Learning in Production

What you’ll learn

  1. Identify key components of the ML project lifecycle, pipeline & select the best deployment & monitoring patterns for different production scenarios.
  2. Optimize model performance and metrics by prioritizing disproportionately important examples that represent key slices of a dataset.
  3. Solve production challenges regarding structured, unstructured, small, and big data, how label consistency is essential, and how you can improve it.
Price Free
Language English
Duration 20 Hours
Certificate No
Course Pace Self Paced
Course Level Advanced
Course Category Machine Learning
Course Instructor DeepLearning.AI
Machine LearningMachine Learning in Production