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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

JB

Jul 2, 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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.

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4551 - 4575 of 5,729 Reviews for Structuring Machine Learning Projects

By 喆 李

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May 8, 2018

good

By colinzuo

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Mar 1, 2018

good

By Nathan W

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Jan 19, 2018

Done

By Aleksei T

•

Jan 7, 2018

Yay!

By 王琳娜

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Dec 20, 2017

good

By hankyang

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Dec 17, 2017

good

By jasonlee

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Nov 6, 2017

nice

By skyfacon

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Oct 21, 2017

nice

By wangdawei

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Oct 18, 2017

good

By Цхондия Г А

•

Oct 5, 2017

cool

By 马明

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Sep 20, 2017

good

By 钱智盈

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Sep 19, 2017

good

By GAOBO C

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Sep 18, 2017

good

By RISHABH T

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Aug 25, 2017

good

By So P

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Nov 8, 2020

ood

By DARAM B S - E

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May 18, 2020

Spr

By Oumar B

•

May 3, 2020

top

By 华卓隽

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May 11, 2019

666

By Diego F

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Sep 26, 2018

TOP

By Vikram M

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Sep 17, 2017

o

o

d

By laixiaohang

•

Aug 27, 2017

很实战

By Keshav B

•

Jun 10, 2020

<3

By Radoslav N

•

Oct 15, 2019

ok

By Ming G

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Aug 25, 2019

gj

By Pham X V

•

Nov 6, 2018

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