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

4.8
stars
47,357 ratings
5,435 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

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.

MG
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.

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4776 - 4800 of 5,397 Reviews for Structuring Machine Learning Projects

By Vito D

Sep 22, 2017

A bit short, maybe combine this into other courses? Or expand it with labs?

By Francisco J M O

Dec 29, 2020

Muy interesante, se aprende mucho en situaciones aplicables a la vida real

By Jean-Michel C

Dec 30, 2018

Very useful tricks / method to approach typical machine learning projects.

By Mandlenkosi N

Dec 10, 2018

I loved the use cases it gave a practical uses of what I've been learning.

By subho c

Sep 29, 2018

Some hands on exercise to complement the theory would have been excellent.

By Yisheng Y

Jan 25, 2018

I am pretty surprise that this course does not have programming assginment

By dh

Oct 17, 2017

provide student with some code tests like previous courses may be better .

By Ruifang W

Aug 23, 2017

quite detailed and easily accepted way of understanding all the materials.

By Sergey I

Aug 22, 2018

Good and useful material. However the homework is not challenging enough.

By Nimrod P

Feb 6, 2018

Some video issues, give this course a slightly lower production values...

By Abhishek R

Nov 27, 2017

Very useful for people working in ML. Short on content but one of a kind.

By Matteo P

Sep 23, 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

By Leon M W

Dec 26, 2020

Nice but not as informative and well crafted as the previous two courses

By Nabham G

May 25, 2020

Got to learn some insights and guidelines for machine learning projects.

By Madhumathi R

May 29, 2019

It could have been the last course in the specialization instead of 3rd.

By Sébastien D

Nov 17, 2017

Some effort should be put in editing the videos. Else it is pretty good!

By Paulo A V

Nov 16, 2017

Innovative contents full with good advises and suggestions in the matter

By Simon L

Nov 1, 2017

Really good for intuition. Only wish there was some code sprinkled in :)

By Joffre L V

Oct 25, 2017

Very good course, maybe a little more project work would be better, ....

By Prasad D D

Jul 3, 2020

Great videos. Just too long. Maybe sometimes I feel it to be repetative

By Lucian R

May 21, 2020

It would be more useful to have this course last in the specialization.

By Abhinand S

Mar 27, 2019

The answers to the questions in the Quiz are ambiguous and subjective.

By Wynand

Feb 15, 2018

Good, not dissimilar information from what was taught in the ML course

By R. P R

Nov 30, 2017

Will return to this lecture again in the future as reference material.

By Isaac K

Nov 27, 2017

Has some useful information, but is lacking any programming exercises.