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Learner Reviews & Feedback for Structuring Machine Learning Projects by

32,774 ratings
3,448 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 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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201 - 225 of 3,409 Reviews for Structuring Machine Learning Projects

By John G

Feb 01, 2019

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

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

Excellent for technical aspects (wich is very important!)

By Alberto M C

Feb 12, 2019

Good practical advice on how to structure and debug any DL projects

By Ankur T

Feb 12, 2019


By To P H

Jan 18, 2019

Great course!

By Elvis S

Jan 18, 2019

Enjoyed the real world scenarios... I think those were super helpful to understand various scenarios and how to strategize ML tool and resources.

By Ayush S

Feb 02, 2019

As usual TOP NOTCH.

By Shi Y

Feb 03, 2019

Quite inspiring and helpful.

By Juilee D

Feb 02, 2019

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

By Nico F

Feb 03, 2019

Finally understood LSTM

By Arun R

Apr 03, 2019

Amazing it was.

By Muhammad H B K

Apr 02, 2019

It was an amazing experience. Thankyou Professor Andrew and Team

By Wei L

Apr 02, 2019


By Rory M

Apr 01, 2019

Great course - it was a nice change of pace to have a higher-level view of the processes involved.

By Nemanja J

Apr 03, 2019

you are the best, this should be referent point of presenting knowledge

By Karel N N

Apr 05, 2019

Excellent courses, and a great teacher! Best regards and thank you very much!

By Lien C

Apr 04, 2019

Great practical insights of how to start a ML project, how to improve/optimize the system, how to identify and troubleshoot common problems in deep learning. The course provides comprehensive high level guidelines for anyone who uses machine learning, even without having any programming experience!

By Van N H P

Apr 05, 2019

This course is amazing. These material is so unique to this course and it's hard to find else where.

By Federico A G C

Apr 05, 2019

Surpassing Coursera level performance

By Aparup B

Apr 06, 2019

By far the best of this series. These kind of accumulated lessons are very rare.

By ChenTianyi

Apr 07, 2019


By Bassel G

Apr 08, 2019

A grate course and the grate prof.

By Haoqiu W

Mar 31, 2019

nice teacher

By Erick A

Mar 31, 2019

This is a very very interesting course since it discusses a lot of subtleties one deals with when developing machine learning projects