Chevron Left
Back to Structuring Machine Learning Projects

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

48,973 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


Nov 22, 2017

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


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.

Filter by:

2701 - 2725 of 5,585 Reviews for Structuring Machine Learning Projects

By ruth

Sep 5, 2018

Always happy to count with this great course and help

By Marina Z

Apr 12, 2018

Top course with top hints how to handle a ML project.

By Vimit D

Mar 28, 2018

There are a lot of basics that are necessary to learn

By Vytautas U

Jan 18, 2018

Really good tips on strategy on how to build DL model

By g1no

Jan 11, 2018

Quality teaching and information as usual. Thank you.

By BaiChen

Nov 10, 2017

many useful instructions about machine learning steps

By Glen P

Nov 8, 2017

Very useful information that is not widely available.

By Jack B

Sep 21, 2017

enjoyed the simulators that used real world examples.

By yash a

Sep 19, 2017

Very crisp and systematic concepts.Hats off M.Ng Sir!

By Dave P

Sep 15, 2017

Very much enjoying each aspect of this specialization

By Goh Z Y

Sep 15, 2017

Very practical knowledge gain on handling AI projects

By Lyle T

Sep 14, 2017

Excellent practical insights for real-world scenarios

By Shaoduo X

Sep 11, 2017

Nice starter for understanding some "macro" concepts.

By Liekens W

Aug 29, 2017

Nice overview on how to ML projects can be structered

By Samuel E

Aug 28, 2017

Some useful insights collected together in one place!


Aug 28, 2017

Very helpful, especially for those who just graduated


Jan 5, 2023

This lecture share much experience and good skills.\

By kyhomane

Jul 16, 2022

i can gain so many insights about ML in this course.

By Camilo C V

Aug 10, 2020

very useful to better plan machine learning problems

By Rekha R

Jun 6, 2020

Very good for Analyzing and Structuring ML projects.

By prarabdh r 1

Apr 29, 2020

nice experience sharing.. helped a lot in my project

By Deleted A

Apr 14, 2020

Great course. It helped me a lot, Thank you Coursera

By ding x

Mar 21, 2020

Thanks very much, Iam happy to learn helpful skills.

By Kees v d T

Feb 20, 2020

Very usefull for stucuring machine learning projects