Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,929 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

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!).

AM

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.

Filter by:

5251 - 5275 of 5,724 Reviews for Structuring Machine Learning Projects

By Michael B

•

Feb 23, 2020

Good concepts, but subjective.

By Michael C

•

May 23, 2018

Very good experience sharing!!

By Jens R

•

Nov 19, 2017

Very informative and relevant.

By Ajay P

•

Sep 27, 2017

good theoretical course on ml.

By Nicolas M

•

Jun 22, 2021

No practice coding at all...?

By Benoit D

•

Jun 16, 2019

Lack of practical assignments

By Davide F

•

Apr 20, 2019

Interesting but a bit verbose

By Emanuel G

•

Dec 1, 2018

Quite short, but nice to have

By Şükrü O

•

Sep 5, 2018

A good knowledge extension...

By João P J

•

Oct 15, 2017

Good but not very challenging

By Juan P

•

Aug 2, 2020

Interesting concepts. Thanks

By Tomas S

•

Jun 1, 2020

Good Work, maybe more speed.

By Sebastian D

•

Sep 12, 2019

Would have liked some coding

By Bhon B

•

Jul 29, 2019

Some errors in video editing

By Thomas W

•

May 9, 2018

Bit fluffy but good content.

By 李想

•

Feb 27, 2018

No programming assignment :(

By 徐衔

•

Dec 16, 2017

more exercise will be better

By Juan A R P

•

May 20, 2022

I wish it had a coding part

By Hemanth R

•

Aug 10, 2020

overall a feel-good course.

By Chaitanya M

•

Jul 5, 2020

Thanks,you are a great help

By Muhammed M H

•

Sep 8, 2018

Happy to Learning something

By Ashis K C

•

Oct 8, 2017

It is good, but very short.

By 李浩然

•

Jul 22, 2019

not as good as lecture 1&2

By Rahul S

•

Aug 31, 2018

No programming assignments

By Gijs O

•

Apr 12, 2018

Not as good as the others!