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

4.8
stars
49,877 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.

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.

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1001 - 1025 of 5,718 Reviews for Structuring Machine Learning Projects

By Masaki O

May 17, 2018

This course is very important and practical. If you get this course, I think you can construct a deep learning system and debug it, then improve it.

By Diego A P B

Mar 6, 2018

More theoretical than the other courses, but a great way to exercise the concepts and how to structure the project your application wishes to solve.

By Yi W

Sep 16, 2017

The course is quite inspiring. It offers plenty of practical high-level ideas, strategies, and plans. The simulation questions are quite intriguing.

By Dominik K

Aug 17, 2017

This course teaches useful concepts that are not mentioned in the university courses or popular textbooks. Moreover, the courseworks are insightful.

By Galib H K

Jun 20, 2020

It's an awesome course. It's important to know how to structure a project and what should be the whole approach. And, This course covers just that!

By Regina V

Jun 15, 2020

I like that it gives me the idea on some kind of framework to use when thinking on how to start and how to progress with a machine learning problem

By Amit K

Jun 12, 2020

Great Course, got a in-depth knowledge of deep learning, now i got a better understanding how to approach a deep learning problem more efficiently.

By Navneet K

Apr 28, 2020

I really enjoyes this course, tho it was theoretical but was quite intersting possibly due to variety of examples taken in this course.

Thanks a lot

By aditya m

Mar 22, 2020

It's a quality course with needful things to empower the beginners for making strategic choices while working on their ML project. Very insightful.

By Deleted A

Jan 29, 2020

Good for the stage just after learning the basics of deep learning. Good for orienting myself confidently in a direction to solve problems with DL.

By Rahi A

Dec 24, 2019

After study this course, many real world project related doubts have been cleared. It gives very concise and valuable information about ML project.

By Deepak R

Feb 15, 2019

Learning the practical tips for implementing the DL algorithms and several ways for improving their efficiency through the best professor. Awesome!

By Jayatu S

Feb 3, 2019

Another great course from Andrew Ng and the Team

I tend to only work on the weekends and I can finish the lectures and assignments during that time.

By Mubashar N A

Jan 15, 2019

very informative course on how to organize your project and use the datasets in a more efficient way and avoid strategies which waste time at start

By Mahmut K

Dec 10, 2018

Useful course not only for deep learning but for other ML algorithms. Reviews issues that one needs to be careful about using statistical methods.

By 闫胤兆

Dec 5, 2017

This course tells more method and more details to develop a NN to solve problems. It's really benifitial to know what DL is from the birth of a NN.

By Bahadir O

Oct 15, 2017

Very practical course that explains a lot of rookie mistakes. I love how Prof.Ng makes everything magically easier to learn. He has a natural gift.

By 李俊宏

Sep 20, 2017

This is really helpful for people who want to enter the area of deep learning. Andrew shared with us a lot of ideas, and structured it really well!

By Hamza J

Jun 1, 2020

Excellent way of teaching the case studies really allowed to me think deeply about the topic and help to develop a good understanding of the topic

By Alex S

Mar 31, 2020

I now have a better qualitative approach to solving the ML problems and also come up with effective strategies to improve my overall skills in DL.

By Ashok S

Sep 15, 2019

As usual the course rocks. Love Andrew's video lectures and clever quiz questions which reinforces how to structure the machine learning projects.

By Saida C

Sep 3, 2019

I really liked the simulator approach. Really love being able to learn from Andrew's practical experience, great professor who knows how to teach.

By Michael Z

Aug 24, 2019

This course is a little short but I still felt leant some useful experience of AI engineering. Thanks the teachers and follows behind this course.

By Mohammed A

Jun 1, 2019

Excellent Course that gave me a lot of insight and much of practical advice.

Highly Recommended.

Thanks, Andrew and the whole deeplearning.ai team.

By Alex S

Feb 23, 2018

I wanted to skip this one as it sounded not-so-exciting. But it turned out to be a great one, especisally if you are practicing building deep NNs.