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Structuring Machine Learning Projects,

26,290 ratings
2,834 reviews

About this Course

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Top reviews


Nov 23, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.


Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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2,794 Reviews

By Zheng Zhang

Apr 25, 2019

I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.

By Afonso Delgado

Apr 25, 2019

To dive into the practical and business aspects of deep learning is a need! Andrew Ng shares a lot of his experience in the field.

By 吴雅君

Apr 25, 2019

Wonderful! It helps me!

By Kyung Min, Lee

Apr 25, 2019

Need some programming assignment to catch the notion vividly

By Aniceto Pérez Madrid

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

By Jalendar C H

Apr 24, 2019

Excellent course.. I want to redo do this .

By Enikeev Ali

Apr 23, 2019

Good intuition about ml projects

By Mohab Mamdouh Ali Mohamed Diab

Apr 23, 2019

this is perfection

By Sebastian Kraus

Apr 23, 2019

At the beginning I thought this course might be a bit obsolete. However, I'm still taking a look at the material provided even aufter i finished the specialization.

By Lee Chin Poo

Apr 23, 2019

Sincere thanks to Assoc. Prof. Andrew Ng and team for sharing the fantastic ideas about deep learning!