Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
50,002 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 m...
...

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.

WG

Mar 18, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

Filter by:

2026 - 2050 of 5,731 Reviews for Structuring Machine Learning Projects

By Sayali S

•

Apr 10, 2020

Really helpful when starting with a new ML project and moving forward when stuck.

By Bảo L H

•

Apr 1, 2020

Thank you so much for all the useful information,

Mr. Andrew Ng and co-workers!

By Jordi A C

•

Feb 25, 2020

It helped me to get new tools and guidance to find the path to build best models.

By 储黄瑞

•

Feb 21, 2020

i am so glad that i am a DKU student so that i can listen to such a great course!

By Victor M

•

Nov 9, 2019

Really liked this course. I learn tips and tricks to get a successful ML project.

By Emory F

•

Oct 22, 2019

Amazing to see how complex the decision to create the model in real cases can ben

By Daniel B

•

Oct 14, 2019

Great example driven course with many interesting examples and external lectures!

By Christos-Angelos V

•

Jul 16, 2019

Another great course by Coursera. Thank you very much for sharing this knowledge.

By Juilee D

•

Feb 2, 2019

completely theoretical , but very very important course from the specialization !

By Ravi M

•

Dec 28, 2018

This Course give real view , what and how to choose training and testing dataset.

By Shantanu B

•

Dec 18, 2018

Great course as an adjunct to the main deep-learning course. Loved completing it.

By Bhanuj B

•

Sep 8, 2018

Nicely explained the design decisions and how to approach the real life problems.

By Martin D

•

May 25, 2018

Excellent concise transfer of valuable guidelines and real world lessons learned!

By aditya r

•

Apr 13, 2018

Give better intution of how to structure your ML projects using various technique

By WAI F C

•

Dec 27, 2017

I learned the best real world developement strategy on machine learning projects.

By wday

•

Nov 23, 2017

professor Ng gives very useful instructions to structure Machine learning project

By Yaw O

•

Nov 19, 2017

Great course. Very thoughtful thought-provoking exercises. Thanks Andrew and team

By Kanchana R

•

Nov 11, 2017

Really great insight to real-world application and building a nnet for a project.

By Kristjan R

•

Sep 21, 2017

I got a good intuition for solving problems when building practical applications.

By Runhao W

•

Aug 26, 2017

Very helpful for gaining some idea about what would be faced with in a DL project

By abdalrhman i

•

Dec 28, 2023

very good and make u thinking in a better way which is the best in programming

By Abhijeet M

•

Oct 13, 2021

Great learning. Learning from experts always makes learning interesting and fun.

By Hendri A

•

Jul 19, 2021

This course is really great for understanding conceptual about Machine Learning

By Charles X

•

May 25, 2021

Very good course by Andrew NG, with practical experiences which is very helpful.

By Nicholas Y K X

•

May 1, 2021

Clear and concise information being conveyed. A worthwhile lecture to listen to.