Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,895 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

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.

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.

Filter by:

4426 - 4450 of 5,719 Reviews for Structuring Machine Learning Projects

By Zhaoxia C Q

•

Oct 29, 2017

Great!

By Sicheng Z

•

Oct 26, 2017

Great!

By Yates Y

•

Oct 24, 2017

Great！

By Zhiwen

•

Oct 18, 2017

Thanks

By Lloyd C

•

Sep 15, 2017

Great!

By Huaiwei C

•

Aug 22, 2017

Great！

By Sajidullah B

•

May 3, 2023

Great

By Maram A A

•

Aug 23, 2022

good

By Xiaohua L

•

Jan 4, 2022

good.

By OMAR S

•

Dec 9, 2021

#YNWA

By CHANGHYUN A

•

Apr 5, 2021

great

By Salwan T

•

Feb 26, 2021

great

By Rahul T

•

Nov 3, 2020

Happy

By Mahin

•

Aug 3, 2020

great

By Hamora H

•

Jul 8, 2020

Good!

By Bhavesh W

•

Jun 22, 2020

Great

By MOURAD B

•

Jun 7, 2020

great

By 李懷哲

•

Jun 3, 2020

Good!

By kameron b

•

Apr 5, 2020

primo

By Yibo W

•

Mar 27, 2020

ggood

By Alexander A

•

Feb 20, 2020

Класс

By 柯 蓝

•

Nov 2, 2019

说的超级赞

By Manuel N R

•

Aug 4, 2019

great

By Huzefa L

•

May 17, 2019

great

By wolf

•

Apr 29, 2019

great