Chevron Left
Back to Structuring Machine Learning Projects

Learner Reviews & Feedback for Structuring Machine Learning Projects by

31,156 ratings
3,274 reviews

About the 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 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

Filter by:

76 - 100 of 3,236 Reviews for Structuring Machine Learning Projects

By Manpreet M

Jan 30, 2019

Very well presented. The strategies given are helpful in deciding how to approach any machine learning project.

By Antonio G

Jan 31, 2019

Exceeded my expectations!

By Ayush S

Feb 02, 2019

As usual TOP NOTCH.

By John G

Feb 01, 2019

Excellent for technical aspects (wich is very important!)

By Juilee D

Feb 02, 2019

completely theoretical , but very very important course from the specialization !

By Shi Y

Feb 03, 2019

Quite inspiring and helpful.

By Nico F

Feb 03, 2019

Finally understood LSTM

By Pochadri A

Feb 01, 2019

awesome learning on how to handle various challenges that arise out of machine learning.

By John G

Feb 01, 2019

Useful insights that might greatly contribute to the success of a deep learning project. Thank you!

By Tatiana H

Feb 03, 2019

well designed and taught! thank you good people!!!

By 朱柏霖

Feb 04, 2019


By Jayatu S C

Feb 03, 2019

Another great course from Andrew Ng and the Team

I tend to only work on the weekends and I can finish the lectures and assignments during that time.

By Zoheb A

Feb 05, 2019

The two quizzes of this course were unique. Never came upon such a quiz in any other online course. Along with the videos and supplementary pdfs, this course was quite unique and important in every aspect. I will use the approach I learnt here on my next ML projects. Thanks to Andrew Ng and the team.

By Raymond T Q T

Feb 04, 2019

a clear and helpful explanation on how to choose a strategy and make a neuron networks model working well, and also propose useful approaches to improve the error in the NN model.

By Akash G

Feb 05, 2019


By 夏天

Nov 22, 2018


By zhuziye

Nov 20, 2018


By Luong A T

Nov 21, 2018

It is a great course, highly recommended for those who wants to work in the AI

By Yuezhe L

Nov 20, 2018

This is a very helpful class. I have been working on machine learning projects for years. This course provides methods to systematically trouble shoot problems in a machine learning project. Despite all the samples are using neural networks, the methodology can be applied to improve other machine learning projects.

By Max B

Nov 21, 2018

Fantastic! As is pointed out by Andrew Ng, the material is not taught in other courses. You will get answers for a lot of things you might have wondered when working on a machine learning project.

By zhiqing h

Nov 06, 2018

There is no homework. Would be great to have homework.

By Sharvil G

Nov 06, 2018

Really helpful course. Thought many strategies for building my deep learning project. Thank You Sir.

By Cyprien H

Nov 07, 2018

Very instructive course, full of practical and actionable advice to focus on the right problems in an ML project. The "flight simulators" are concrete examples of decisions one has to make in an ML project and it is good to practice with it.

By Divya M

Nov 08, 2018

Thank you Andrew NG. This thanks is not sufficient for your mentoring to the machine learning community. Thanks for teaching and spreading your knowledge to us.

By Pham X V

Nov 06, 2018