This course three is very

Welcome to the DLS Course 3: Structuring Machine Learning Projects Discourse Page!

In this course, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader.

By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning.

Please feel free to search for a topic that you’re interested in or start one of your own if you don’t find what you are looking for!

Hi, Ziyad.

Welcome to Course 3! You’ve shared the statement of what is covered here. It’s worth pointing out that there is a lot of useful material to learn here, even if this particular course does not include any programming assignments. As you can see from the course description, it is more about understanding how to evaluate how your project is doing and understanding what your options are for how to improve your results.

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