Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,907 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

AM

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.

JB

Jul 1, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

Filter by:

5076 - 5100 of 5,721 Reviews for Structuring Machine Learning Projects

By Matteo P

•

Sep 23, 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

By Leon M W

•

Dec 26, 2020

Nice but not as informative and well crafted as the previous two courses

By Nabham G

•

May 25, 2020

Got to learn some insights and guidelines for machine learning projects.

By Madhumathi R

•

May 29, 2019

It could have been the last course in the specialization instead of 3rd.

By Sébastien D

•

Nov 17, 2017

Some effort should be put in editing the videos. Else it is pretty good!

By Paulo A V

•

Nov 16, 2017

Innovative contents full with good advises and suggestions in the matter

By Simon L

•

Nov 1, 2017

Really good for intuition. Only wish there was some code sprinkled in :)

By Joffre L V

•

Oct 25, 2017

Very good course, maybe a little more project work would be better, ....

By Prasad D

•

Jul 3, 2020

Great videos. Just too long. Maybe sometimes I feel it to be repetative

By Lucian R

•

May 21, 2020

It would be more useful to have this course last in the specialization.

By Abhinand S

•

Mar 27, 2019

The answers to the questions in the Quiz are ambiguous and subjective.

By Wynand

•

Feb 15, 2018

Good, not dissimilar information from what was taught in the ML course

By R. P R

•

Nov 30, 2017

Will return to this lecture again in the future as reference material.

By Isaac K

•

Nov 27, 2017

Has some useful information, but is lacking any programming exercises.

By george v

•

Nov 2, 2017

great-practical advices. nice simulation of the problems in the quizes

By Tianyue Z

•

Sep 11, 2017

Talks about error analysis and strategies of how to proceed a project.

By Liu X

•

Sep 13, 2020

the quiz of the 2nd week has a wrong question， in my quiz，this 10th。

By Abhishek N

•

Dec 23, 2018

Great course. Loved the lectures, but the assignments were ambiguous.

By Jesús C

•

Oct 13, 2018

Great course!

I only missed how to deal with unbalanced training sets.

By Jeremy O

•

Jul 14, 2018

Great information - A few more video errors than in previous courses.

By John W

•

Oct 2, 2017

Another informative course. A bit repetitive but overall very useful.

By Jacques J

•

Sep 6, 2017

Would have loved a lot more content and a lot more practice examples.

By Hugo H M A

•

Dec 16, 2020

It's so good but I think is for intermediate level rather than entry

By Mihir S D

•

Apr 6, 2020

Great course! Would be better if programming exercises were included

By Edoardo S

•

Feb 2, 2019

A bit too theoretical and not empirical but still really interesting