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

4.8
stars
50,122 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

SV

Feb 19, 2019

This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience

WG

Mar 18, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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4426 - 4450 of 5,746 Reviews for Structuring Machine Learning Projects

By Jeff D

•

Nov 27, 2020

Thanks

By Ahmed E

•

Mar 15, 2020

thanks

By 曹世朋

•

Nov 3, 2019

谢谢吴老师！

By taeha k

•

Aug 21, 2019

Good!!

By Mohamed E E D

•

Aug 10, 2019

thanks

By Santiago G

•

Apr 9, 2019

Great!

By Sergio L M

•

Mar 28, 2019

Great!

By Akash G

•

Feb 5, 2019

thanks

By EL-KADDOURY M

•

Dec 21, 2018

thanks

By wangshunji

•

Sep 20, 2018

useful

By YOLOV3

•

Aug 28, 2018

Thanks

By Goodorc

•

Aug 9, 2018

go on.

By sachin

•

Jun 15, 2018

bumper

By Sreenivasulu B

•

Apr 2, 2018

Great!

By Stephen E

•

Jan 11, 2018

Unique

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 SU 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