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

4.8
stars
49,614 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

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

TG

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.

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4776 - 4800 of 5,688 Reviews for Structuring Machine Learning Projects

By Hany T

Aug 27, 2019

Great course, great professor .. the only issue is that I feel sleepy every time I watch the videos :), it's some how single tone. Also the audio could be improved.

By Kody L

Feb 16, 2022

Not quite as practical and informative as the first two courses in this specialization, but overall still quite enjoyable and helpful. Excited for the next course.

By Karthikeyan C (

Mar 16, 2020

It is always important to learn above the problem-solving methods and tools. This course teaches the complete diagnosis methodologies for Machine Learning problems

By Mehran M

Jun 25, 2018

Overall, very informative, however I think the content of this course could be divided between the first and the second course.More assignments would've been nice.

By Rajesh R

Nov 26, 2017

Lots of practical advice and ideas on how to work on actual projects and things to look out for. Great stuff. Wish it had a few programming exercises or a project.

By Ross K

Aug 30, 2017

Useful introduction to meta-level principles of machine learning process management, but not quite as groundbreaking or well-instructed as the previous two courses

By kArThIk T

Apr 13, 2020

A real time project or programming assignment could improve our confidence level.

All of these courses if it had readable material along with video, it'd be great.

By SYZ

Dec 9, 2018

Hope to have coding practices for the second week's materials.

Anyway, the current course is already very helpful. Thanks to Andrew and all staff behind the scene!

By Jussi V

Feb 18, 2018

Content is good, but a bit thin... This course makes sense as part of the deep learning specialisation, even if this is a bit too short to be a course of its own.

By Boris D

Jul 23, 2019

A bit less interesting than the others I think. To me the whole first week was full of obvious stuff. The second week, however, was very interesting and helpful.

By Subash P

Oct 23, 2017

There was lot of theory and probably not one of my strengths. However the content is very useful for bringing some structure to machine learning problem solving.

By Jaime R

Nov 20, 2018

This course could have just been an extra week or two of course 2. It doesn't have the depth of the others, although it is very practical and I like the content

By Calvin K

Mar 4, 2018

Good advice on how to work on a machine learning project from the ground up. Tho most of the material is already covered in Ng's Machine Learning Yearning book.

By Deleted A

Nov 19, 2017

Nice to see a course on machine learning about the 'other stuff' around machine learning. However, links didn't work half the time and it was a bit unpolished.

By Klas K

Oct 13, 2017

Some of the lectures feel quite lengthy and repeat stuff. It seems to be easily possible to condense into one week which could be added to the previous course.

By anahita p

Jan 19, 2019

a lot of topics are covered in machine learning course, but this has an upgrade to input from previous course due to changes has happened in AI in last years.

By David M M

Nov 17, 2018

Valuable tips to apply in machine learning projects. I'd like to have some programming assignment that gives opportunity to practice some of those techniques.

By Luis A

Apr 20, 2018

Es muy bueno el curso lo recomiendo si se desea tener un conocimiento general sobre los aspectos a considerar en las etapas del desarrollo de proyectos de ML.

By il K

Mar 19, 2018

Advanced course, as always well done :D

Anyway, something for me strange is that there are only quitz but not exercices in Python/Tensor Flow... This is a pity

By Alejandro Z

Sep 22, 2017

I loved the lessons, they are very practical. The only thing that I think could be improved are some of the quizz questions are worded in a bit ambiguous way.

By Dinh T T

Feb 6, 2019

It's an useful course to give me how to analyze error and give me some advice how to apply transfer learning and multitask learning. Thank for your course.

By Diwakar R

May 11, 2018

I felt that this course was too slow for my liking. While I agree this helps a lot, But I watched all the videos at 1.25x the speed so that I dont get bored

By Gagan G

May 6, 2019

It doesn't have coding but it teaches thing that will really help in real projects when we will need to decide best approach based on multiple data points.

By 钟胜杰

Nov 19, 2018

The courses of this two weeks make me confused because i have't built a machine learning systems fully by myself yet , so i found those classes boring.0.0

By Robert C

Aug 1, 2018

Not as helpful or practical as earlier lessons, but nonetheless important high-level advice. Perhaps there was a better way to test knowledge than a quiz?