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

4.8
stars
44,159 ratings
4,979 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

JB

Jul 02, 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!).

AM

Nov 23, 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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4401 - 4425 of 4,923 Reviews for Structuring Machine Learning Projects

By Erik B

May 04, 2018

Provides a more scientific approach into hyperparameter tuning.

By Qihang S

Mar 25, 2018

I hope that in Course 3 there are some programming assignments.

By Ashwani K

Apr 27, 2020

Nicely explained the concepts and importance of error analysis

By Su L

Mar 15, 2020

Volumns of different vedios are different. Some are too small.

By Yue Z

Feb 23, 2020

complementary material for the book "machine learning yarning"

By Pankaj R

Mar 12, 2018

Lot of theory was their. Good but felt asleep after some time.

By Wenhai Z

Nov 28, 2017

I would wish there were more programming practice assignments.

By Kyle H

Oct 23, 2017

Contained all good content, there just wasn't very much of it.

By Daniel A L G

Sep 22, 2020

The course is so useful, but sometimes the voice turns so low

By Paweł P

Oct 11, 2019

Good overview of the problems occuring while training models.

By Sathiraju E

May 25, 2019

Thank you, Andrew.

This course was very helpful though theory.

By Daniel Z

Aug 15, 2018

Good course. It would be better with programming assignments.

By Antonio H

Jul 02, 2018

I could not do the flight simulator test, it was not working.

By Youjiang Y

Jan 16, 2018

It will be really nice if there is assignment for this course

By zhang l

Mar 17, 2020

Some of the questions in the quiz set seems a bit confusing.

By gayatri h

Jun 05, 2019

It gives the idea about real life machine learning problems.

By David d V

May 24, 2018

It would have been great to add some programming assignments

By Jeff G

Sep 11, 2017

Good material, just wish it had more "labs" to work through.

By Juan C M S

Jun 08, 2020

In some occasions it's been has a bit redundant information

By Pranav B

Jan 30, 2020

Good Course for Beginners need more programming assignments

By Gil E B

Jul 30, 2019

Good Course to learn production pipelines for practical use

By Fereydoon V

Feb 03, 2018

Hope we had programming assignment for this course as well!

By Venkatesh N

Jan 04, 2018

Very good course, It should be last course in specilization

By Richard M

Oct 14, 2020

Interesting ideas, but not as good structured as course 1.

By Pakin S

Nov 28, 2019

Thanks I learn a lot of real world application and problem