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

48,355 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


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.


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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2626 - 2650 of 5,522 Reviews for Structuring Machine Learning Projects

By Himanshu R

Oct 14, 2019

best for basics, derivations and learning from scratch

By Richik G

Sep 22, 2019

understood how to proceed and how to finish a ml model

By diptanshu s

Apr 9, 2019

Very practical - Useful concepts for transfer learning


Jan 23, 2019

Fantastic course. Concepts can be applied right away.

By Sai V K S

Jan 20, 2019

Highly recommended for deep learning project managers.

By Clair H

Nov 6, 2018

There is no homework. Would be great to have homework.

By Vishnukumar K

Aug 29, 2018

Useful, practical tips for everyday ML implementations

By Gita D

Aug 7, 2018

Enjoyed thoroughly and full of practical guidelines...


Jul 8, 2018

This course is very helpful and cleared many doubts...

By Muhammad W

May 13, 2018

good quizzes and course lectures were very informative

By Philipp K

Apr 30, 2018

I have learned so much of of this course. Keep it up!!

By Amulya R D

Apr 5, 2018

Great course.. Provides direction for decision making.

By Rowan S

Jan 24, 2018

Insightful and full of extremely valuable information!

By Erik N

Jan 10, 2018

Fantastic course with great real application examples.

By Vivi M

Dec 5, 2017

It was really interesting and useful for real projects

By Nikola M

Oct 29, 2017

It's good course. Gives some industry insight as well.

By Bo Y

Aug 28, 2017

Best in 3 courses. Provide a great guideline to follow

By Hongbing T Y

Aug 23, 2017

Simple, intuitive, practical and effective guidelines!

By M N

Aug 22, 2017

Got to know how to structure machine learning projects

By Jingchao Z

Oct 19, 2021

very practical suggestions on real world ML problems.

By Mario A C F

May 21, 2021

Good information for run a machine learning projects!

By Narendra S

Sep 18, 2020

easy to learn concepts increased the ease of learning

By Esteban M G G

Aug 26, 2020

Clear as always, great explanations and to the point.

By Hasaan A

Jul 28, 2020

Awesome course on how tp make important ML decisions.


Jul 17, 2020

Yuhuuu ! I did it, It was a good learning experience.