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

47,188 ratings
5,420 reviews

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

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.

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.

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2851 - 2875 of 5,377 Reviews for Structuring Machine Learning Projects

By Genyu Z

Nov 6, 2019

Very good teaching and satisfying content.

By Martin R

Jul 15, 2019

Very heplful tips included in this course!

By DurgaSandeep

Jun 15, 2019

Too good and more informative course in NN

By Alina

Jun 10, 2019

.this course is perfect. I like it so much

By Vishnusai Y

Jan 28, 2019

Excellent Course with excellent insights !

By rohit m

Aug 14, 2018

Gem of an insight !! cannot recommend more

By Jiaming K

Mar 5, 2018

The assignments are way too easy though...

By Simon W

Dec 28, 2017


























are really nice!

By Yuliang X

Nov 10, 2017

very useful for machine learning engineers

By Ted T

Nov 3, 2017

Very useful for improving my own work!!!!!

By Musalula S

Oct 22, 2017

What a great course. This is a must attend

By Netik A

Oct 10, 2017

will help alot to make the NN model better

By Kartoue M D

Oct 5, 2017

Hands on structuring and tuning ML system!

By Zhang H

Sep 25, 2017

I think this course is very very usefully.

By Vu M D

Sep 14, 2017

very useful and clear. Thank you very much

By Rúben A A S

Mar 21, 2021

Good basic introduction to understand ML.

By Prashant A

Nov 1, 2020

Great Insights into Unsupervised Learning

By Julia L

Oct 26, 2020

Thank you Andrew for an excellent course!

By Shiva I

Sep 15, 2020

This is such a good course. Thanks Andrew

By Sanjoy P

Aug 14, 2020

Very Helpful course. Thank you. Make more

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.


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