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Learner Reviews & Feedback for Structuring Machine Learning Projects by

32,280 ratings
3,394 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!

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251 - 275 of 3,355 Reviews for Structuring Machine Learning Projects

By Bharat S H

Mar 30, 2019

I hope my mentor will live for thousand years. The world needs person like you. I have learnt a lot. Confidence as an machine learning engineer is increasing day by day.Thanks a lot Professor.

By Zigmond V L

Mar 29, 2019

Good, practical information to help tackle ML projects most effectively.

By Sergei S

Apr 01, 2019

Among other courses of this series, this course brings up some of the most important things every (deep learning) scientist should be aware of.

By Muhammad H B K

Apr 02, 2019

It was an amazing experience. Thankyou Professor Andrew and Team

By Kartik g

Apr 01, 2019

Its quite informative

By Ravish R

Apr 01, 2019

Nice course for getting a feel of error.

By Haoqiu W

Mar 31, 2019

nice teacher

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 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

By Wei L

Apr 02, 2019


By Nemanja J

Apr 03, 2019

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

By Arun R

Apr 03, 2019

Amazing it was.

By Karel N N

Apr 05, 2019

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

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 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 Federico A G C

Apr 05, 2019

Surpassing Coursera level performance

By ChenTianyi

Apr 07, 2019


By Aparup B

Apr 06, 2019

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

By Bassel G

Apr 08, 2019

A grate course and the grate prof.

By Saurabh S

Apr 08, 2019

Really helpful course. Lots of information on how should you drive your machine learning project.

By Kelvin G

Mar 28, 2019

Andrew NG impressive. As always

By Sergio L M

Mar 28, 2019


By Marilson C

Mar 28, 2019

Great course.

By Raksha Y

Apr 10, 2019

no one create better material than this course

By Sameer K

Apr 09, 2019

One of the best courses of DL specialization. The knowledge shared is invaluable and it is tough to get such good insights elsewhere. Thanks to Prof Andrew Ng and Team.