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

4.8
stars
46,941 ratings
5,391 reviews

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

MG
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.

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!).

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5126 - 5150 of 5,343 Reviews for Structuring Machine Learning Projects

By David P

Oct 17, 2017

Not nearly as good as the first two courses. These two weeks should probably be added into the second course at some point...

By Oliver O

Oct 16, 2017

Would like more applied discussion and for it to be Longer. In particular I would like to see a discussion on class imbalance.

By Shuai W

Sep 19, 2017

The content of this course is a bit too little for me.

However, it provides useful guidance for my projects. Much appreciated!

By Gary S

Sep 15, 2017

Not nearly as valuable as the first Deep Learning course. And the questions posed in the quizzes seemed far more subjective.

By Pejman M

Oct 21, 2017

Programming practices with TensorFlow should have continued in this course. Unfortunately, these two weeks were all talking.

By Nithin V

Jan 3, 2021

Need more quizzes, assignments to deepen the understanding, But otherwise thank you Andrew Ng for presenting this material

By Panos K

Apr 18, 2021

The pace of the first part of the course was too slow. The second part (from Transfer learning onwards) was much better.

By Mustafa H

Jul 16, 2018

This course does discuss interesting and important subjects but I feel it can be combined with course 2 of this series

By Ahmed A

Jul 10, 2018

course is very good have a lot of important theory, it will be amazing if become 3 weeks with programming assignments.

By Kevin Q

Mar 19, 2018

lot of issues with assignments and ambiguous quiz questions this time around, not as polished as other Andrew courses

By Arghya R

Sep 19, 2017

Could have more case studies and above all. Also programing assignments on self driving car could have been better

By Okhtay A

Apr 5, 2020

A bit too free form compared to the other courses in deep learning specialization, but maybe that was the goal.

By Masih B

Jul 18, 2020

This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)

By Janet C

Jun 29, 2019

Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.

By Aniruddh B

Apr 16, 2020

Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.

By Vitaliy

Feb 28, 2018

To much talk but understandable. Need something like programming examples with different data distributions.

By Rob W

May 12, 2018

Seemed to be information that could have been included in another course rather than its own 2 week course.

By Idan P

May 28, 2018

Lectures can be summed up by: "use common sense".

Quiz can be summed up by "to pass, use OUR common sense".

By Abd-Elrahman B

Dec 21, 2017

The quiz questions are quite confusing and some of them are not consistent with the content of the videos.

By Rishabh B

Jan 3, 2020

Slightly repetitive from previous courses. Could have been integrated with the future or previous course.

By Barnoviciu E

Jan 18, 2021

Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"

By Tim U

Jan 11, 2020

More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.

By Iam P d S

Mar 14, 2018

This course was shorter and didn't have any programming assignments. Could've been part of course 2.

By Aswin R

May 7, 2020

Didn't turn out to be much useful. Could've added more content or added as a part of other courses.

By Yue E

Mar 7, 2019

Unfortunately, it did not match with my expectations, too much theory and no programming exercises.