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

4.8
stars
48,226 ratings
5,532 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

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.

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.

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2601 - 2625 of 5,500 Reviews for Structuring Machine Learning Projects

By Alexander G

Mar 31, 2018

Thank's a lot for numerous useful tricks and methodics!

By Wurihan

Mar 25, 2018

I thought I learnt about engineering theory on projects

By Malek B

Mar 16, 2018

Amazing courses thank you Andrew and all coursera team.

By brightmart

Mar 14, 2018

single value metric+dev set let us focus on our target.

By Héctor C

Nov 22, 2017

This is the course of the program that MAKES YOU THINK.

By Pablo V I

Oct 30, 2017

The best practical machine learning course I ever done!

By Gordon L W C

Oct 21, 2017

Useful practices for building machine learning project.

By David L

Sep 13, 2017

Really useful. lots of useful tips and practical advice

By Victoria G

Aug 30, 2017

High quality lesson, looking forward to lesson 4 and 5.

By YesMan F

Jul 29, 2021

a​ huge thanks to deeplearning ai for the great course

By Suraj P

Feb 17, 2021

Very unique material you can rarely find anywhere else

By PRAKASH K

Jan 4, 2021

This is really good course and I learnt a lot from it.

By Amit K G

May 1, 2020

Best course to understand how to structure ML projects

By Мазитов М Р

Apr 16, 2020

found it easy but useful - many thanks for this course

By Maxim V

Nov 3, 2019

A great source of info otherwise difficult to come by.

By Yazid H

Oct 20, 2019

Short and sweet, ideas very clear and well illustrated

By Himanshu R

Oct 14, 2019

best for basics, derivations and learning from scratch

By Richik G

Sep 22, 2019

understood how to proceed and how to finish a ml model

By diptanshu s

Apr 9, 2019

Very practical - Useful concepts for transfer learning

By NAGARAJ R

Jan 23, 2019

Fantastic course. Concepts can be applied right away.

By Sai V K S

Jan 20, 2019

Highly recommended for deep learning project managers.

By Clair H

Nov 6, 2018

There is no homework. Would be great to have homework.

By Vishnukumar K

Aug 29, 2018

Useful, practical tips for everyday ML implementations

By Gita D

Aug 7, 2018

Enjoyed thoroughly and full of practical guidelines...

By METHUKU P

Jul 8, 2018

This course is very helpful and cleared many doubts...