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

4.8
stars
49,809 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

MG

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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.

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

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4876 - 4900 of 5,708 Reviews for Structuring Machine Learning Projects

By Caio B

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Aug 4, 2020

No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though

By Jesse S

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Nov 5, 2017

Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.

By Qian N

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Oct 7, 2017

I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!

By ACECOM I

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Jun 18, 2020

me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial

By Duhai A

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Mar 23, 2020

Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.

By Kailash C

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Mar 15, 2020

More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.

By Jun W

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May 16, 2019

This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.

By Parth P

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May 22, 2019

This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.

By Ganesh M S

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Apr 1, 2018

Learnt a lot about machine learning. One of the finest collection of all the information related to machine learning concepts.

By Enes B

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Jan 4, 2018

The content is great, but the there are some HW questions that should be reviewed and the wording of which should be improved.

By Rex C D

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Oct 30, 2017

I brief look at the project management aspects of deep learning. More flight simulators (case studies) would be very helpful.

By Akash D

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Oct 12, 2017

Simple and yet a great course! Exposes us to a very well explained and justified set of guidelines on how to improve learning.

By Aditya M

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Jun 16, 2020

The videos are fast forwarded which causes problem while understanding difficult portions of the course please slow it down .

By Rashid G

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Apr 16, 2020

A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.

By Vik V

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Jul 23, 2018

Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.

By Matt G

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May 22, 2022

It would take many projects and careful reflection to learn the concepts in this course. It was definitely worth the effort.

By Deleted A

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Jul 11, 2020

This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects

By Thomas A

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May 25, 2020

Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)

By Franz L

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Jun 3, 2020

I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.

By Oliverio J S J

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Jan 28, 2019

It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.

By Gustavo A V

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Mar 31, 2019

The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.

By Archer M

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Dec 13, 2018

Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture

By W B K

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Oct 9, 2018

Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.

By Saurav J

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Sep 22, 2017

Excellent course material would have been icing on the top if there were some course exercises like previous two courses.

By Hao W

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Aug 19, 2017

I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful