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

4.8
stars
50,039 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...
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Top reviews

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

JB

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!).

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1551 - 1575 of 5,736 Reviews for Structuring Machine Learning Projects

By Jordan S

Sep 20, 2019

A great introduction to structuring projects, with a good emphasis on the proper structuring of data sets.

By Mehul

Aug 1, 2019

Getting a knack of this specialization due to the people who are involved with it,especially Andrew Ng Sir

By Hari K

Nov 27, 2018

Andrew makes the topic interesting and easy to grasp. The assignments are very well written. Great course!

By Piyush J

Jan 29, 2018

provided much needed inputs on approach to problems and strategies for improving the performance of models

By Badri T

Oct 25, 2017

Loved the course and the material. Transfer learning topic was especially helpful. Loved the case studies.

By Trevor A

Oct 9, 2017

Outstanding course digging into difficulties that would otherwise take many years of experience to manage.

By Ridho M

May 2, 2021

thanks andrew, you are every student at this community wanna be, and congrats for and carol for the birth

By Alin M

Feb 21, 2021

I really liked this course, now I should apply what I've learned so far in small projects, to begin with.

By Paul S

Jul 20, 2020

This course has really helped me in reflecting on previous projects and extracting the lessons from them.

By Ankush N

Jul 10, 2020

The assignment questions are nicely framed for theoretical understanding of working on an actual project.

By Ankur S

Jun 13, 2020

Got to learn things that normally may take years of experience. Great course taught by a great Professor.

By Carlos G Y

Apr 16, 2020

As always, Andrew is a great instructor and this course has given me some important AI-related abilities.

By Sajib K S J

Apr 14, 2020

The way NG Sir explains the content is simply amazing. I can't wait to complete other courses of NG Sir.

By Youssef M

Mar 31, 2020

Very powerful course, to learn fundamentals which helps you a lot in describing and building your project

By Delwin J

Dec 2, 2019

Nice course for inspiring and making us understand how to go with projects. Thank you to the instructors.

By Óscar M A

Nov 22, 2019

I learned a lot of interesting and valuable insights, and all the information in the course seems useful.

By Daniel A M B

Oct 4, 2019

Interesante lo de las distrubuciones de datos y la cuestión de está de revisar los datos de la neural net

By Saloni B

Aug 21, 2019

Content of this course is very different and new. Very clean and detailed information has been presented.

By swetha n

May 26, 2019

Best ML course I have taken - very unique compared to other ML courses online. Very practical and useful!

By Tom S

Mar 10, 2019

Great class. They say experience is the best teach, but some one else's experience is sure a lot easier.

By Sonal K

Dec 31, 2018

This is a really awesome course which gives you a very good insight of how to work on ML and DL projects.

By Kun W Y

Mar 4, 2018

Teacher Andrew talks many differences between ML and DL implementation, which is a pretty awesome course.

By Jake S

Dec 7, 2017

I loved this course. I've learned so many practical skills that I've already started to apply to my work.

By Wei-Cheng Y

Aug 28, 2017

very useful concepts for systemic approach to tuning machine learning projects, thank you for the course!

By Paul L

Oct 15, 2022

Very intesting as all the logic explained can be applied to Machine Learning and Deep Learning projects