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

4.8
stars
50,134 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

PD

Feb 24, 2020

Generally, the course is great. This is a short course and could be combined with other courses in this series. Also, some knowledge such as data splitting has been introduced in the courses before.

EM

Jul 7, 2020

I think this is the best way of understanding the models we build and train. Now I can understand where are the errors are coming from and how to focus and choose an error rate problem to solve.

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4326 - 4350 of 5,748 Reviews for Structuring Machine Learning Projects

By Aaron W

•

Mar 12, 2018

sooo good

By Lie C

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Mar 4, 2018

very good

By Han K

•

Feb 10, 2018

excellent

By Ale D

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Jan 27, 2018

EXCELLENT

By Arno_

•

Jan 3, 2018

very good

By zhifeng j

•

Dec 7, 2017

awesome!!

By Enoch C Y S

•

Dec 6, 2017

very Good

By Venkata R R L

•

Dec 6, 2017

Excellent

By 姚朴健

•

Nov 29, 2017

very good

By ricky a

•

Nov 21, 2017

Fantastic

By Ho Y C

•

Nov 19, 2017

Very nice

By Ananth K

•

Nov 12, 2017

Terrific!

By 陈尚伟

•

Nov 1, 2017

Ng出品，必属精品

By Oleg D

•

Oct 22, 2017

awsome :)

By Dave L

•

Oct 20, 2017

Thank you

By Martín D

•

Oct 19, 2017

excellent

By Sylvain D

•

Oct 12, 2017

Excellent

By Deleted A

•

Oct 7, 2017

wonderful

By Joseph D

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Sep 24, 2017

Excellent

By Hugsy W

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Sep 17, 2017

very good

By hanpaopao

•

Sep 13, 2017

very good

By fengchang

•

Sep 13, 2017

very good

By chang c

•

Sep 7, 2017

very good

By Krishna D

•

Sep 3, 2017

Excellent

By Sun C

•

Aug 31, 2017

Very good