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

4.8
stars
49,676 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

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.

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.

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976 - 1000 of 5,693 Reviews for Structuring Machine Learning Projects

By Hamed A

Feb 26, 2020

Fantastic! Now I feel more confident to do my own Deep Learning project with a good structuring.

Thank you Andrew Ng and god bless everyone in Coursera.

By Ratan S M

Feb 9, 2020

very practical, helps me understand on what I should be looking at when there is change to the inputs says a new species gets added. Great quiz section

By Alex M

Oct 12, 2019

As always, those courses from Andrew Ng provide very useful tips and a good grasp of the global picture of Machine Learning. Would definitely recommend

By Shehan D P

Sep 17, 2019

This course is so helpful as it teaches how to approach and structure different machine learning projects, depending on targets, data availability etc.

By Purushotham M v

Nov 9, 2017

missed programming here. But this course was very good for getting basic understanding what to look for when neural don't get you the intended results.

By Thiemo M

Sep 1, 2017

Not about programming, not even about neural net only. It's really a problem solving course with focus on and examples from neural network applications

By Ioannis K

Jan 26, 2021

This is a great course, especially the idea of the “machine learning flight simulator” which prepares you for real-life applications of deep learning.

By Beltus N

Aug 19, 2020

This course had some very insightful analysis of machine learning problems that are invaluable for any problem. Thank you Andrew Ng for such insights.

By Nguyễn H T

Aug 5, 2019

I think this course is absolutely amazing for those who first time build a Machine Learning project from scratch. I have learnt much from this course.

By Jordi A

Aug 18, 2018

The content of this course was amazing. A good summary at an introductory level in order to organize projects and know where and what to tune and fix.

By Quentin G

Jul 29, 2018

Very interesting and different class in which there was not only technique but also managing a team about ML. This specialization is a total success !

By Kazuki Y

Jul 1, 2018

This one does not have programming exercise unlike others, but gives extremely helpful advice on how to improve the overall strategy toward a project.

By Hemshanker R

Jan 2, 2022

Excellent course material. Giving deep insights on how to structure your Machine Learning Project. Really insightful lessons taught by Dr Andrew Ng.

By Lambert K R

Jul 16, 2020

This course was a starter kit to take tactical decisions while countering the machine learning problems. Thank you Andrew for the exceptional course.

By Fernando A G

Nov 4, 2019

Great Course!

It compliments perfectly everything seen before in the specialization, and helps seeing everything more clearly during the next courses.

By Amilkar A H M

May 10, 2019

One of the best courses of the series as it talks a lot about the overall flow of work that we should follow when working on a deep learning project.

By Devrim Ç

Apr 28, 2019

Perfect compact course to enrich your knowledge about real-world projects. The load is delicate, as well. Overall, this course is absolutely spot on.

By Daniel T

Mar 15, 2019

the content is solid, but there are some video editing issues. Periods of dead time, repeats, and in one case mismatch between audio and video timing

By Kishore K

Sep 18, 2018

Though the course seems to be the SHORTEST, this is the most important one in the first three courses and the MUST one for the freshers in the field.

By Rishit C

Oct 25, 2020

Very Interesting course and definitely held up to all the promises you made initially. intuition is key and it comes through this course. Thank you!

By Linda T

Jan 31, 2020

I learned a lot of basic knowledge in ML; the teacher's beautiful voice and his diligent sharing information to our student, make me so appreciated

By Ulugbek D

Sep 8, 2019

This course is a bit challenging, in a sense that it comes with complex content videos. The quizzes too are difficult but also I learned a lot from.

By Artem

Aug 15, 2018

Really good general Machine Learning course focused on touching main challenges when building machine learning projects.

Definitely worth your time!

By Masaki O

May 17, 2018

This course is very important and practical. If you get this course, I think you can construct a deep learning system and debug it, then improve it.

By Diego A P B

Mar 6, 2018

More theoretical than the other courses, but a great way to exercise the concepts and how to structure the project your application wishes to solve.