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

4.8
stars
49,809 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

MG

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It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

NI

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Awesome course as always. The course teaches real world practical aspects of how to get started and navigate in the real world projects. The guidelines are actual learnings from years of experience.

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2251 - 2275 of 5,708 Reviews for Structuring Machine Learning Projects

By Shijian G

Nov 30, 2019

Thanks for Andrew providing so many hands-on experiences and guidelines.

By Aswin S T

Aug 7, 2019

Essential course on real-life problems faced in a deep learning project.

By Haci A K

Jul 17, 2019

good insights, looks like reflecting years of experience, as promised -)

By Varun

Jul 8, 2019

Great, and the way Andrew explained, he made hard things looks too easy.

By Z L

Mar 28, 2019

Good, practical information to help tackle ML projects most effectively.

By Pradeep I

Mar 16, 2019

Really good lessons. Helps you how to approach solutions systematically.

By Clerc-Gherardi

Jan 16, 2019

Really nice lecture. A better understanding how to handle a ML project !

By shijiatongxue

Dec 11, 2018

Very nice and I have learned a lot from this course.Thank you Andrew Ng!

By Leigh L

Nov 27, 2018

There are tons of practical suggestions based on real world experiences.

By khaled a

Oct 6, 2018

again thanks to coursera for the financial aid and andrew for the course

By An-Dân N

Aug 27, 2018

Nice course, very practical, useful tips that other sources may not have

By Vahid N

Aug 8, 2018

It gave me a lot of insights about DL projects in real world! Well-done!

By jayanta m

Jul 30, 2018

Got intuitive information that no where available other than this course

By XIANJUN Z

Apr 9, 2018

Quite practical advises, might come back when having problem in project.

By Narendra P

Feb 11, 2018

A great course on how to go about developing the neural nets in reality!

By Kimi T

Feb 8, 2018

Provide valuable practical tips in real-world ML projects, super useful!

By yan z

Dec 25, 2017

a lot of great tricks and tips of helping deploy and analyze ML systems.

By Juan R C C

Oct 26, 2017

Imprescindible course for who thinks to start any kind of ML/DL project

By 洪锋

Sep 20, 2017

清楚了了解到了和完成ML Project相关的一些问题,并理解了transfer learning和multiple task learning

By Qifan W

Aug 25, 2017

Very practical course that you cannot learn from any university program!

By Syed H A

Jul 21, 2023

Amazingly Structured with a lot of practical situations. Helped me alot

By Aashish K

Jan 9, 2022

Excellent insights, not really taught anywhere in the academic courses.

By seyyed s z

Sep 13, 2021

Best of best from Andrew Ng.

Thank you coursera

Thank you Deeplearning.ai

By Ashwin K

Aug 15, 2021

An excellent course to learn various strategies involved in ML projects

By odilbek

Jul 5, 2021

Good insights are given on how to analyze the model and its performance