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

4.8
stars
49,672 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

AM

Nov 22, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

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2301 - 2325 of 5,692 Reviews for Structuring Machine Learning Projects

By Cooper

Mar 23, 2018

Although this micro course is the shortest one, I still learned a lot.

By Wenhao Z

Feb 11, 2018

Very good and useful experience on building machine learning projects.

By Peter X

Jan 26, 2018

Good to learn more about how to tailor your machine learning projects.

By karan m

Jan 6, 2018

Gives very good practical advice on implementing and debugging models.

By T. F

Dec 20, 2017

The courses in this specialization seem to just get better and better!

By Juan A

Oct 24, 2017

Content is really good, needs some editing corrections but that's all.

By Shyam S K (

Oct 16, 2017

This will save you a lot of time and structure projects the smart way.

By Chaitanya D

Oct 10, 2017

Well structured and awesome content !! Assignments are really awesome.

By Chandra P U

Oct 8, 2017

Great course to improve deep learning (and machine learning) practise.

By Joel O

Oct 2, 2017

Absolutely insightful as usual!!! I'm very happy this course was made!

By David A S

Sep 27, 2017

This course is great. Really applied examples and real world quizzes.

By Ahmed M

Sep 20, 2017

I really liked this course. Thanks a lot for the team who prepared it.

By David W

Sep 9, 2017

great! I got so much more and deeper further on deep learning. Thanks.

By Yi F

Aug 15, 2017

Very insightful and practical strategies for machine learning projects

By Ali S

Jan 9, 2021

Recommended course for everybody in DL era, So many thanks to Prof.NG

By Gauransh S

Oct 24, 2020

gave me insights of how to modify your errors and get better accuracy

By Soufiane F

Sep 29, 2020

This course helps having a better 360 degrees vision of an ML project

By aman g

Aug 11, 2020

I learned things that might have taken months or even years to learn.

By Vlad M

Jun 24, 2020

Really good addition to the previous two courses in specialization!!!

By Suraj K

Jun 11, 2020

Amazing learning experience. Assignment-Quiz were nice & interesting.

By Surya R S

May 14, 2020

This is really awesome!!!learnt more new things thanks to coursera!!!

By guolianghu

Mar 29, 2020

非常棒的课程,老师讲的例子很有用,让我理解的更加深刻。

通过这一系列课程也可以加强我的深度学习基本功。另外,希望我的研究生入学考试复试顺利。

By Shervin M

Mar 3, 2020

Nice and representative case studies, though seldom a bit subjective.

By 象道

Sep 16, 2019

the best empirical knowledge that is accessible by new practitioners.

By Andrés D

Jul 25, 2019

Great Course this is the only place where I have found this material!