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

4.8
stars
46,108 ratings
5,268 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

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.

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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4626 - 4650 of 5,209 Reviews for Structuring Machine Learning Projects

By Wynand

Feb 15, 2018

Good, not dissimilar information from what was taught in the ML course

By R. P R

Nov 30, 2017

Will return to this lecture again in the future as reference material.

By Isaac K

Nov 27, 2017

Has some useful information, but is lacking any programming exercises.

By george v

Nov 2, 2017

great-practical advices. nice simulation of the problems in the quizes

By Tianyue Z

Sep 11, 2017

Talks about error analysis and strategies of how to proceed a project.

By Liu X

Sep 13, 2020

the quiz of the 2nd week has a wrong question, in my quiz,this 10th。

By Abhishek N

Dec 23, 2018

Great course. Loved the lectures, but the assignments were ambiguous.

By Jesús C

Oct 13, 2018

Great course!

I only missed how to deal with unbalanced training sets.

By Jeremy O

Jul 14, 2018

Great information - A few more video errors than in previous courses.

By John W

Oct 2, 2017

Another informative course. A bit repetitive but overall very useful.

By Jacques J

Sep 6, 2017

Would have loved a lot more content and a lot more practice examples.

By Hugo H M A

Dec 16, 2020

It's so good but I think is for intermediate level rather than entry

By Mihir S D

Apr 6, 2020

Great course! Would be better if programming exercises were included

By Edoardo S

Feb 2, 2019

A bit too theoretical and not empirical but still really interesting

By Dieter V

Apr 23, 2020

The value of this course is mostly in the quizzes. Very insightful.

By Michael B

Apr 4, 2018

Well structured material - trigger the desire to know more and more

By yifeng z

Feb 27, 2018

kind of lacking in practical assignment. only quiz seems not enough

By Roger F

Dec 4, 2017

It would be great to get some explanations in regard to both tests.

By Shirley Z

Nov 6, 2017

Could be more examples or coding assignments for transfer learning.

By chao L

Sep 29, 2017

Distills the key and practical aspects of machine learning projects

By Chuyi H

Jul 2, 2020

the knowledge is very relevant and the quiz is fun and challenging

By Tomas O H

Jun 19, 2019

Very useful intuitions, needs a little more of coding if possible.

By Aniceto P M

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

By Javier P

Oct 19, 2017

Programming assignments for transfer learning would have been nice

By Manish C

Jan 29, 2020

Nice to learn skills about project handling in machine learning.