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

45,660 ratings
5,206 reviews

About the Course

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Top reviews

Jul 1, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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.

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4676 - 4700 of 5,151 Reviews for Structuring Machine Learning Projects

By Jason G

Nov 24, 2018

Not as strong as the other 4 of 5 of the series

By Mark

Oct 12, 2018

Great course. Needs deeper practical examples.

By Francis J

Feb 25, 2018

A lot of insights rather than technical details

By Lukáš L

Jan 7, 2018

Coding exercises would be great in this course.

By Mares B

Nov 17, 2020

A little short, maybe more hands on exercises?

By Ed G

Nov 8, 2020

Concise course with some interesting concepts.

By Tulip T

Jul 23, 2019

Quite helpful when you start a new ML project.

By S V R

Nov 4, 2018

The session were simple, could be more complex

By Caique D S C

Jul 30, 2018

very good course, could be less massive though

By Ivan V

Dec 11, 2019

I want a program exercise like in 1-2 courses

By Dionysios S

Nov 30, 2018

I would like to see more practice assessments

By Luis E R

Jul 31, 2019

Very useful concepts that few people address

By Jun P

Apr 22, 2018

Kind of boring than the cnn and rnn class ..

By John H

Aug 29, 2017

Useful content, could be much more succinct.

By vijaykumar

May 15, 2020

This course is awesome and good knowledge .

By Alfredo M

Mar 14, 2018

There were no practical coding homeworks :(

By Igor C C

Feb 14, 2018

A little less dense than the other courses.

By Rajesh M

Oct 11, 2017

Can reduce some of the repetitive material


Sep 21, 2020

Maybe add 1 question at the end of videos

By Mr. S A

Sep 12, 2020

a bit slow and no programming assignments

By Shriniwas S U

May 2, 2020

Satisfied with course. Thank u Instructor

By Hamidreza C

Jan 7, 2020

Good course, nice case studies, liked it.

By Gaurav A

Aug 26, 2019

Great course, good structure, nice theory

By Akansha B

Aug 3, 2020

Was good as an intro could be hands on..

By David A

Nov 19, 2018

Didn't get any practice coding sessions.