Chevron Left
Back to Structuring Machine Learning Projects

Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

49,732 ratings

About the Course

In the third course of the Deep Learning Specialization, 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. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews


Nov 22, 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 30, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

Filter by:

5651 - 5675 of 5,697 Reviews for Structuring Machine Learning Projects

By Dafydd S

Oct 23, 2017

Had the feeling of a "filler" course although it was interesting to hear about the various challenges

By Alexander V

Feb 25, 2018

A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.

By Nahuel S R

Mar 4, 2020

Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido

By Peter E

May 2, 2018

Too theoretical. It would be good to have some practical (programming) assignments here as well.

By Mohamed E

Nov 22, 2017

Not much to learn in this course, basic recommendations can be condensed in one or two lectures

By Jordi T A

Aug 28, 2017

A lot of the content seemed redundant both within the lectures and with the previous courses

By Clement K

May 11, 2020

Interesting but redundant. It's not worth an entire course, even if it's only two weeks

By Péter D

Oct 6, 2017

long videos saying actually very little ... disappointment

By Andrey L

Oct 29, 2017

Quite boring and not so interactive like the first course

By harsh s

Sep 22, 2020

good but more theoretical course rather than pratical

By Kaarthik S

May 25, 2020

this is the boring course in the specialization

By Thomas A

Oct 2, 2019

Can be better, but there's way too much fluff

By Till R

Mar 2, 2019

Some things are best learned from experience.

By Subhadeep R

Sep 25, 2018

Frankly I didn't find this to be very useful.

By Hernan F D

Dec 17, 2019

There is no a lot of content in this course

By Aloys N

Sep 20, 2019

Missing a bit of practical Python exercises

By Kristjan A

Sep 23, 2022

This course pales in comparison to MLS.

By Ofer G

Jul 9, 2019

Pretty basic and not enough practical

By 2k19ec173 s

Apr 4, 2021

please work on the audio quality

By Agniteja r

Oct 2, 2019

Useful only for beginners

By Chaobin Y

Oct 12, 2017

Too little materials.

By Vinayagamurthy.M

Jan 5, 2020

Very theoritic

By Gerrit V

Aug 19, 2019

Much too slow

By Zeyi W

Apr 8, 2018

Too short

By Christof H

Sep 18, 2017

no praxis