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

4.8
stars
50,119 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鈥檚 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

YP

Jul 26, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚� 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁� 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃� 鞁れ鞝� 雮挫毄霌る 甑劚霅� 氅嬱 旖旍姢 鞛呺媹雼�!

SB

May 7, 2020

This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.

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3026 - 3050 of 5,746 Reviews for Structuring Machine Learning Projects

By cornell

鈥�

Dec 17, 2021

GREAT COURSE as guidance for ML projects!

By AKASH N

鈥�

Oct 1, 2020

Good course to understand machine learning

By Ernest W

鈥�

Aug 17, 2020

Wonderful course... Thank you Andrew... :)

By Andreas M

鈥�

Jul 8, 2020

Great and inspirational learning material.

By Nazmus S E

鈥�

Apr 29, 2020

An extremely informative course as always.

By Elio M

鈥�

Apr 27, 2020

Thanks Andrew Ng for another great course!

By Noam B

鈥�

Mar 26, 2020

very unique course and will help in future

By Sagar P

鈥�

Feb 27, 2020

very very practical and is a must to know

By Mohammad K

鈥�

Nov 19, 2019

You are amazing teacher Andrew, well done!

By Genyu Z

鈥�

Nov 6, 2019

Very good teaching and satisfying content.

By Martin R

鈥�

Jul 15, 2019

Very heplful tips included in this course!

By Sandeep S

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Jun 15, 2019

Too good and more informative course in NN

By Alina

鈥�

Jun 10, 2019

.this course is perfect. I like it so much

By Vishnusai Y

鈥�

Jan 28, 2019

Excellent Course with excellent insights !

By rohit m

鈥�

Aug 15, 2018

Gem of an insight !! cannot recommend more

By Jiaming K

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Mar 5, 2018

The assignments are way too easy though...

By Simon W

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Dec 28, 2017

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are really nice!

By Yuliang X

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Nov 10, 2017

very useful for machine learning engineers

By Ted T

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Nov 3, 2017

Very useful for improving my own work!!!!!

By Musalula S

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Oct 23, 2017

What a great course. This is a must attend

By Netik A

鈥�

Oct 10, 2017

will help alot to make the NN model better

By Kartoue M D

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Oct 6, 2017

Hands on structuring and tuning ML system!

By Zhang H

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Sep 25, 2017

I think this course is very very usefully.

By Vu M D

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Sep 14, 2017

very useful and clear. Thank you very much