Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,614 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 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

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.

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.

Filter by:

4726 - 4750 of 5,688 Reviews for Structuring Machine Learning Projects

By Sven W

•

Aug 29, 2017

Basic but super relevant and well structure! Things we may all know, but forget to think about... I highly recommand. The only reason why I did not give 5 stars is that it's sometime repetitive

By Nicolas B

•

Jul 28, 2019

Course was really interresting with lot of insights. I would have maybe put even more examples/cases and added more quizz to get more practical training if we apply the pilot training analogy.

By Andres F O J

•

Aug 1, 2020

It's a little bit difficult to understand some concepts, even thought with examples. So it would be nice if there are some programming in the course. That will help to understand the process.

By Tanmay S

•

May 30, 2020

Andrew Ng was great. Mu only complaint for this course is was it was a bit slow paced as per my liking and could have more hands on practice for that part. Otherwise, This course was Awesome

By Sandeep J

•

Jan 30, 2018

Great class. Homeworks don't encourage independent thought. It would be nice if the material would spell out the problems that need to be solved more clearly, before describing the solution.

By liubai01

•

Sep 15, 2017

That is a good course that teaches you many useful tricks in machine learning. However, some mistakes in quiz make me feel puzzled. In general, it is a good course that you should not miss.

By Rufo S

•

Sep 19, 2017

Very good course with important topics. The Quiz 2 should be reviewed because has some inconsistencyies has mentioned in the forums. Some more pratical assignment would be also appreciated.

By Mike B

•

Mar 12, 2018

I was a little disappointed that this course didn't have any programming exercises. That being said, I really like how the quizzes make you think of a real world application. Great stuff!

By Vassilios V

•

Feb 11, 2018

Very good advice that is hard to find anywhere else. The quizes however have some ambiguous cases which are borderline wrong. At least they should be explained better after the completion

By Radu I

•

Oct 23, 2017

Interesting opinions on what strategy to take to drive ML projects forward. Here and there you must weigh in with some "numbers" that suit you/your team but it's informative, nonetheless.

By Bryan H

•

May 29, 2018

The course appears to be in development and could be strengthened with programming assignments that take you through an actual mock project. Otherwise, the current content is enjoyable.

By Wahyu G

•

Mar 10, 2018

Not so much different with the materials in the Machine Learning course from Prof. Andrew Ng itself. If you don't have the time to finish the ML course, then you should take this one.

By Salar N

•

Mar 3, 2022

So thanks for your well-designed course. I would say that if you provide much examples or programming assignments for this course, it would definitely be more helpful for the students.

By Akhil

•

Jun 28, 2018

A good approach to ML strategy. However, having a programming assignment to better explore results from tweaking models based on the strategies discussed in the course would be great.

By Richard J B

•

Nov 20, 2017

Developing intuition on how to structure projects in deep learning is essential to becoming effective and productive. This course is a good start for gaining that experience quickly.

By Iver B

•

Oct 21, 2018

Valuable information that is well-organized and clearly delivered. Would benefit from a larger number of shorter exercises each week to cement learning after each group of lectures.

By Itai D

•

Mar 30, 2020

This is a great course with excellent contents and guidelines !

Point for improvement:

Please add a programming assignment in python and the questions appearing during the lecture....

By vivek v

•

Jun 23, 2019

This course provided an empirical approach in tackling hurdles in solving most common issues faced by data scientist in solving Machine learning problem in a very simplified manner.

By David N

•

Mar 18, 2020

I really appreciate learning about the high level strategies for designing machine learning projects. I only wish there were some programming exercises to put it into practice.

By Søren B

•

Jan 29, 2018

Based on my own experience and comments on the discussion forums, I get the impression that the quizzes have a couple of errors in them that makes it impossible to achieve 100%.

By JanessaTech2022 Z

•

Nov 9, 2019

This course is less pratical and theoretical. I don't mean it is not helpful to me. I think this course might be helpful as guideline when I hand on the real project in future

By elie a

•

Nov 4, 2019

very good course, but I felt like it was lacking one more week of course to get deeper knowledge about how to really get data sets and how to set them up for real applications.

By Gabriel O

•

May 1, 2022

While the course teach valuable concepts, the material (especially the quizzes) contained many problems, ranging from grammar mistakes, to ambiguous writing, to wrong answers.

By Christian V

•

Jul 18, 2019

you may think because the course is shorter will be much easier but the videos has a lot of information to process. I am excited to tried this techniques on real applications!

By Ambrose S O O

•

May 25, 2019

A good course. Provided general high level thinking and reasoning for quick problem solving, data management, multi-tasking, transfer learning, and error reduction techniques.