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

4.8
stars
49,698 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

ED

Aug 22, 2020

Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.

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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1926 - 1950 of 5,693 Reviews for Structuring Machine Learning Projects

By Nikhil G

Oct 11, 2018

Incredibly useful information that will save even experienced researcher lots of time

By Kranthi

Sep 6, 2018

Very helpful for beginners to understand the multiple scenarios in real life problems

By Thanga M

Jul 29, 2018

The course was another excellent course in this specialization.It was highly helpful.

By Darien S

Jul 13, 2018

useful as this is not touched in most other courses. Flight simulator is a nice touch

By Agbaeze H O

Mar 28, 2018

Only an Experienced Machine learning person can do this. He absolutely killed it! wow

By Ramin A

Mar 10, 2018

Loved this course! I made all of these problems and never knew why and how to fix it!

By 方伟

Nov 8, 2017

The course gives me many ideas about how to get a neural network system works better.

By Flávio R A

Sep 8, 2017

Awesome unique material. Tks Andrew Ng and team for sharing such valuable experience!

By Eldar Š

Aug 18, 2017

Very useful. Using deep learning project flight simulator was interesting experience.

By Shintya R R M

Apr 22, 2021

This course gives me guidance, tips and tricks to deal with problems in ML projects.

By Jean-Michael B

Dec 7, 2020

Great to get the theory behind development and building of models and address errors

By Azzeddine R B

Oct 6, 2020

A real outstanding course. Thank you professor, Coursera and Depp Learning AI teams.

By denglh

Jul 16, 2020

Nice course. Learned a lot! Thank you for the whole team which provided this course!

By Lavakumar V

Jul 6, 2020

Thank you so much. It is an excellent topic and very good at making me undestand it.

By Shomnath S

Jun 5, 2020

These course is awesome. I want more courses on deep learning projects in practical.

By Daniel H

May 19, 2020

Really impressed with the end of week quizzes. Lectures as clear as usual. Thank you

By Bany I

Mar 30, 2020

Scenarios really force you to think through the different outcomes of each decision.

By Marshall

Feb 13, 2020

Very interesting case study-based quizzes that made me think about the new material.

By Shilin G

Jul 21, 2019

very useful videos and quizzes. just the end2end part is less in-depth than I hoped.

By Charles Z

Mar 28, 2019

it's more valuable for troubleshooting of underfitting and overfitting in practice

By Jun W

Nov 6, 2018

Nice overview of things you need to consider before starting and during ML projects.

By Tina

Jul 19, 2018

the advice of dealing with data distribution and transfer learning are very helpful!

By madhumita.behera@gmail.com

Apr 16, 2018

this gives more insite to real world dl problems and also how to handle them as well

By Parallel

Apr 14, 2018

This course gives me many practical advices which help me to build a useful DL model

By shubham a

Apr 8, 2018

very detailed and practical course on how to start building a deep learning project.