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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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2326 - 2350 of 5,721 Reviews for Structuring Machine Learning Projects

By Yi F

Aug 15, 2017

Very insightful and practical strategies for machine learning projects

By Ali S

Jan 9, 2021

Recommended course for everybody in DL era, So many thanks to Prof.NG

By Gauransh S

Oct 24, 2020

gave me insights of how to modify your errors and get better accuracy

By Soufiane F

Sep 29, 2020

This course helps having a better 360 degrees vision of an ML project

By aman g

Aug 11, 2020

I learned things that might have taken months or even years to learn.

By Vlad M

Jun 24, 2020

Really good addition to the previous two courses in specialization!!!

By Suraj K

Jun 11, 2020

Amazing learning experience. Assignment-Quiz were nice & interesting.

By Surya R S

May 14, 2020

This is really awesome!!!learnt more new things thanks to coursera!!!

By guolianghu

Mar 29, 2020

非常棒的课程,老师讲的例子很有用,让我理解的更加深刻。

通过这一系列课程也可以加强我的深度学习基本功。另外,希望我的研究生入学考试复试顺利。

By Shervin M

Mar 3, 2020

Nice and representative case studies, though seldom a bit subjective.

By 象道

Sep 16, 2019

the best empirical knowledge that is accessible by new practitioners.

By Andrés D

Jul 25, 2019

Great Course this is the only place where I have found this material!

By Yasiru B S P

Jul 21, 2019

Great Insight on how to manipulate the knowledge for real life cases.

By Abdallah W

Jun 7, 2019

Great course that helps you to start off the machine learning project

By Jiapeng Z

Apr 20, 2019

It really helps me a lot. I like the style of Professor Ng very much!

By Regi M

Mar 20, 2019

The details covered by Prof.Ng is amazing. It was beyond expectation.

By saket g

Jan 20, 2019

Very well organized course work. I think the best available till now.

By Woojae K

Dec 30, 2018

One of the most useful machine learning advices on practical matters.

By Yi X C

Oct 27, 2018

Well designed quizzes and simple explanation. Great for practitioners

By Abdur R M

Oct 18, 2018

Awesome course providing good guidelines to improve the ML algorithm.

By Hichem M

Sep 15, 2018

Great course .. honestly these tricks are a must have !! thank you !!

By Shuangqi

Jun 28, 2018

Learned a lot about choose the correct metric and do error analyzing.

By 許天明

Mar 29, 2018

Very helpful real machine learning project insights from this course.

By Imran Y

Feb 10, 2018

Extremely useful practical information which you don't find in books!

By Filip V

Feb 6, 2018

Really great insights from an experienced practitioner! Thanks Andrew