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

4.8
stars
46,746 ratings
5,353 reviews

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

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!).

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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5151 - 5175 of 5,300 Reviews for Structuring Machine Learning Projects

By Brandon C

Dec 6, 2018

lacking in the usual engaging programming assignments

By Varun S

Sep 23, 2018

Was expecting more scenarios for real data experience

By Jian Z

Nov 6, 2017

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰

By Bogdan P

Sep 19, 2018

The course is OK, but it lacks programming exercises

By JETTIBOINA V N D S R P

Jul 20, 2019

Learned new things but the course was boring.......

By Tzushuan W

Jun 1, 2019

Wordy and too abstract without hands on experience.

By Evgeny S

Apr 5, 2018

I would rather expect a course more like a capstone

By Mirko R

Jan 4, 2021

It's been overall useful, but it's not "hard" ML.

By Rishab K

Apr 25, 2020

a assignment could be given along with the theory

By Eric H

May 17, 2021

Very little content. Everything was common sense

By shafkat r

Dec 24, 2019

More programming exercises would have been great

By Beatriz S M

Feb 14, 2018

Very general, I would like to be more specific..

By AKUT J R

Aug 16, 2020

Nice module however some repetition of content!

By Mikhail G

Oct 31, 2017

quite short, would be nice to get some practice

By Paavan G

Sep 19, 2020

Could have included some programming exercises

By Thomas A

Mar 26, 2020

Interesting but not very straight-to-the point

By Marco A L H

Sep 24, 2018

not as fun as the other courses of this series

By Manish S

Apr 9, 2018

Content was not enough to create a new course.

By Edward W

Oct 24, 2017

Expect more hand-on code practice or more quiz

By Allan Y

Mar 30, 2018

Should not be a separate course. Too general.

By Adam S

Dec 27, 2017

Some useful insights but not much depth here.

By Haoran Z

Aug 5, 2020

sometimes, it really hard to hear the voice

By Ankoor B

Dec 12, 2017

Not much coding. Some lectures were rushed.

By Qu S

Nov 18, 2018

感觉前几个课程还行,到这章有点水了。。。(我不是说这部分知识不重要,但是也太少了吧)

By Liam A

Jun 14, 2019

Kinda boring, but still pretty practical.