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

4.8
stars
48,866 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

Mar 30, 2020

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.

JB

Jul 1, 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!).

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2976 - 3000 of 5,571 Reviews for Structuring Machine Learning Projects

By Julian S V

Aug 4, 2020

Nice content, and very interesting topics

By Adams A

Jan 11, 2020

spot on on processes for ML applications.

By RAVIKUMAR S

Oct 14, 2019

Very Good Training and its really useful.

By Dilok P

Sep 7, 2019

Many useful trip and trick for ML project

By 周健航

Jan 27, 2019

Very useful for deep learning engineering

By SW J

Jan 9, 2019

It's very helpfull.. thank you very much.

By Estapraq M K

May 21, 2018

It is hard but I learnt A LOT! Thank you!

By Manish Y

Jan 8, 2018

Easy to finish, simulator quiz were good.

By artprog

Dec 1, 2017

Very awesome!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

By Muhammed B

Nov 24, 2017

Great man , Great specialization course .

By Ainun N

Oct 29, 2017

Very practical advices from the trenches.

By Chen S

Oct 24, 2017

Very insight and great course. Very nice!

By Liqun Y

Oct 2, 2017

Very helpful for improving data intuition

By Yixing Z

Sep 22, 2017

very helpful! thanks Andrew and your team

By Tibor V

Aug 27, 2017

Most useful course on deep learning ever.

By Changlin Z

Aug 25, 2017

Thanks a lot. Andrew. Really appreaciate.

By Benjamin S

Aug 22, 2017

Very good course, even that it was short!

By Arthur C

Aug 20, 2017

Most insightful course within the series.

By Ashwani g

Apr 10, 2021

the best course to know basic to advance

By Edward C

Dec 16, 2020

Excellent practical real-world insights.

By Kamal K

Nov 10, 2020

it is very useful to make an ML project.

By Rajesh P

Aug 19, 2020

Great course with lot of good strategies

By Neeladri P

Aug 18, 2020

good course to learn basic ml strategies

By Akshaykumar S

Jul 20, 2020

solving case studies is great approach !

By XIANGXUN L

Jul 8, 2020

Very Good course about Machine Learning.