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

4.8
stars
49,903 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

AM

Nov 22, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

TG

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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4526 - 4550 of 5,721 Reviews for Structuring Machine Learning Projects

By Lovejeet

•

Oct 9, 2019

Good

By Vishal R

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Sep 1, 2019

good

By 尤玥

•

Aug 14, 2019

nice

By Aniket N M

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Aug 6, 2019

Good

By Thisuri L

•

May 23, 2019

Best

By chen j

•

May 18, 2019

good

By 张磊

•

Apr 16, 2019

good

By Saber E

•

Apr 15, 2019

Cool

By 谢凯源

•

Mar 30, 2019

Nice

By Shirish P

•

Feb 14, 2019

Best

By 朱柏霖

•

Feb 4, 2019

nice

By Jhon S

•

Nov 25, 2018

cool

By 夏天

•

Nov 21, 2018

good

By hengfengtian@126.com

•

Nov 18, 2018

深入浅出

By 黄坚

•

Nov 4, 2018

good

By Hao X

•

Oct 3, 2018

👍🏼

By 徐玄清

•

Aug 22, 2018

nice

By Harsh D

•

Jul 1, 2018

good

By 陈杰

•

Jun 24, 2018

good

By 王欢

•

Jun 13, 2018

Cool

By Wu B

•

Jun 4, 2018

good

By 喆 李

•

May 8, 2018

good

By colinzuo

•

Feb 28, 2018

good

By Nathan W

•

Jan 19, 2018

Done

By Aleksei T

•

Jan 7, 2018

Yay!