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

48,132 ratings
5,522 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


Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.


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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5001 - 5025 of 5,490 Reviews for Structuring Machine Learning Projects

By Luis E R

Jul 31, 2019

Very useful concepts that few people address

By Jun P

Apr 22, 2018

Kind of boring than the cnn and rnn class ..

By John H

Aug 29, 2017

Useful content, could be much more succinct.

By vijaykumar

May 15, 2020

This course is awesome and good knowledge .

By Alfredo M

Mar 14, 2018

There were no practical coding homeworks :(

By Igor C

Feb 14, 2018

A little less dense than the other courses.

By Rajesh M

Oct 11, 2017

Can reduce some of the repetitive material


Sep 21, 2020

Maybe add 1 question at the end of videos

By Mr. S A

Sep 12, 2020

a bit slow and no programming assignments

By Shriniwas S U

May 2, 2020

Satisfied with course. Thank u Instructor

By Hamidreza C

Jan 7, 2020

Good course, nice case studies, liked it.

By Gaurav A

Aug 26, 2019

Great course, good structure, nice theory

By Akansha B

Aug 3, 2020

Was good as an intro could be hands on..

By David A

Nov 19, 2018

Didn't get any practice coding sessions.

By Yunfei D

Mar 5, 2018

Why is there no programming assignments?

By John K

Sep 19, 2017

I would have liked more hands o examples

By Zhen L

Sep 9, 2017

Provide many suggestions about practice.

By Michael F

Apr 20, 2018

I would have liked more coding modules.

By anusha b

Mar 12, 2018

It was actually very nice and intuitive

By supperhpxd

Jan 7, 2018

will be better if more exercises,thanks

By Amit K J

Jun 4, 2020

Very nice organized content and quiz..

By Hrishikesh S

May 3, 2020

Less information on some of the topics

By 龚鑫

Jan 30, 2019


By Kesong C

Oct 3, 2018

Please add some programming practices!

By 陈国威

Jul 5, 2020

the course is beneficial for my study