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

4.8
stars
47,310 ratings
5,427 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

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.

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.

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4726 - 4750 of 5,392 Reviews for Structuring Machine Learning Projects

By Rohit G

Mar 26, 2020

The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.

By Kirill S

Feb 29, 2020

Useful and short course, but with a lot of information repetition. Could be optimized.

By Ashraf A

Nov 16, 2019

Very helpful in understanding the way the machine learning projects should be managed.

By Dominik F

Jul 25, 2019

Very useful, but some questions were misleading or were not discussed until next week.

By Cristian

Oct 30, 2017

The material is good, but too short. It could have been compressed in another course.

By Manpreet S B

Oct 8, 2018

Good module to learn about how to structure the ML project and getting insights of it

By Jean L

Aug 20, 2018

I thought there would be more about project management specifics of machine learning.

By Lim H

May 20, 2018

I feel like this course should be the last course in the sequence, not the third one.

By Chris U

Sep 25, 2017

This class gives an excellent overview of how to optimize a machine learning project.

By Javier L P

Apr 17, 2020

Missing the notes in between the videos like in the Intro to Machine Learning course

By CHIRAG J

Apr 9, 2020

It was a good structures machine learning course. It helps us to grab the knowledge.

By 畅 刘

Jun 22, 2018

Interesting lectures, not so difficult but need some knowledge about ANN in advance.

By Shreyas C S

Nov 26, 2017

lot of information. Practical exercise would would helpful to solidify the concepts.

By Shubham S

Jun 17, 2021

Very informative and helpful. But would have loved a bit more assignments/projects.

By Lucas N A

Mar 22, 2020

I liked this course. It has really good tips and the quiz is challenging enough :).

By Prajjwal S

Dec 6, 2019

Very much theoretical, could be more helpful if we can piratically see the changes.

By Cosmin D

Oct 16, 2018

Nice and brief with valuable information about machine learning project management.

By Stanley P

Aug 31, 2017

If you add more assignments not only quiz, that will be very helpful!

Thx to Andrew!

By 陈波

Jun 11, 2019

Lack of hands-on exercises. However, it is still very good to learn new knowledge.

By Andrew W

Mar 13, 2019

Very slow, and probably longer than needed to be, plus only quizzes made it boring

By Darkwing D

Aug 9, 2018

Great course not requiring technical background. Great for QA/overseeing projects.

By mahesh p

Mar 11, 2018

Was more verbose and subjective. Would have liked references to more case studies.

By Litvinau A A

Nov 13, 2017

Great, but sometimes there were a problems with the videos (black screen and etc.)

By Andreea T

Sep 4, 2017

Very good tips and tricks, but I would have preferred it to be even more advanced.

By 蕭博偉

Jan 13, 2020

Briefly share Andrew's experience for directing what to do next in a ML project.