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

4.8
stars
49,985 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

ED

Aug 23, 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.

WG

Mar 19, 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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3701 - 3725 of 5,729 Reviews for Structuring Machine Learning Projects

By Enrique C

•

May 28, 2020

It's a great course

By Chinmaya H

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Dec 8, 2019

Good for beginners!

By Arnav B

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Jul 13, 2019

thank you Andrew Ng

By Nishinoya

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Jun 15, 2019

Really very helpful

By Thibaut S

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Apr 27, 2019

I liked interviews!

By Dylan S

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Apr 19, 2019

Critical to success

By Bach T T

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Mar 3, 2019

it's good. but hard

By Ayush S

•

Feb 2, 2019

As usual TOP NOTCH.

By Bogdan S

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Nov 4, 2018

Practical insights!

By Romain B

•

Sep 12, 2018

Totally outstanding

By 周耀

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Aug 22, 2018

非常有用的的一门课，尤其是调参，那一节

By Azamat K

•

Aug 7, 2018

Very useful course.

By Jack

•

Jul 10, 2018

Very helpful stuff!

By Saurabh, I B

•

Jun 13, 2018

Thank you Coursera!

By Mohamed H Y

•

May 9, 2018

very helpful course

By SUN H

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Feb 24, 2018

Easy understandable

By jinil c

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Feb 2, 2018

Good. Learned a lot

By Changyao C

•

Jan 11, 2018

Andrew is the best!

By 蜗牛爱上星星

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Jan 5, 2018

从实际项目的角度讲解机器学习，很实用。

By Devashish S

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Dec 11, 2017

Excellent insights!

By Eranda B

•

Nov 21, 2017

Professor Andrew <3

By JM

•

Oct 29, 2017

Very Good and Deep.

By Jeff W H

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Oct 19, 2017

Very good insights!

By Oğuzcan Z

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Oct 15, 2017

Very helpful course

By 小林Andy

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Oct 8, 2017

学习到了很多之前不了解的知识，支持支持