Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,882 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

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.

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!).

Filter by:

1726 - 1750 of 5,719 Reviews for Structuring Machine Learning Projects

By José L R G

•

Jun 25, 2020

Casos de estudio muy interesantes para ganar algo de perspectiva en proyectos de deep learning.

By Onuigwe V

•

Jun 17, 2020

Best course! Even an expert in Machine learning and Deep learning need this problem iterations.

By Douglas C

•

Dec 28, 2019

Very insightful, covers a lot of topics and gives a good intuition on how to start a ML project

By Noam P

•

Oct 4, 2019

The course material is very useful, and will definitely help me with the project I'm working on

By Burak B

•

Sep 19, 2019

Very useful course from Andrew NG if you think you will work in a quite big deep learning group

By Ronit N

•

Sep 9, 2019

it was a very intuitive course and wonderful sets of case studies to make us think deep enough.

By Antonio P

•

Jul 27, 2019

Excellent course! Very good complement of the Machine Learning Stanford Course. Very practical.

By raj m

•

Mar 28, 2018

Very practical course content along with the very effective machine learning simulator problems

By Jerome B

•

Dec 19, 2017

This one course is short, simple, filled with interesting knowledge. It gets better and better!

By Nitish V

•

Nov 19, 2017

The course is good . Could also be taken separately even if one don't know about deep learning.

By Sunil P

•

Aug 14, 2017

It was awesome , sharing real life experiences and putting it all together. Thank you Andrew!!!

By Thang L X

•

Jul 23, 2023

This is an amazing course. I appreciate this course and the deep learning AI team that made it

By Kamil

•

Mar 7, 2021

One of the best I've seen! Useful theory backed up by a great case study exercises! Thank you!

By Jes T B K

•

Dec 20, 2020

A bit of a roundabout collection of topics, but this is the stuff that will make you do great.

By Sampatirao S S a

•

Sep 13, 2020

Interesting course. Quiz was a bit challenging but with real life applications. Course was fun

By TEJASHREE R S

•

Jul 4, 2020

I 'm excited about learning how to can compare with human-level error and find avoidable bias.

By Aaron C

•

Jun 12, 2020

Very nice course to show the full variety of possible challenges while including stakeholders.

By Moustafa S

•

Jun 11, 2020

that was a really really helpful course, to understand basics of how to think as a researcher.

By Cryptic S

•

May 2, 2020

THIS WAS AN EXTREMELY HELPFUL COURSE AS IT HELPED ME TO GET AN OVERVIEW OF REAL-WORLD PROBLEMS

By Mojtaba H

•

Feb 21, 2020

This is Practical Machine Learning course.

If you are ML/AI Engineer you must take this course.

By Mukund A

•

Jan 30, 2019

Very helpful. Gives important insights into building and designing a machine learning project.

By He L

•

Jul 14, 2018

cool, but it will be better if we could do some project (including design & coding) by ourself

By Jagadish R

•

Nov 20, 2017

Exceptional though provoking and pragmatic methodology to drill down the lane of deep-learning

By Abhishek B

•

Oct 15, 2017

Learned a lot of real time issues and solutions that are not generally taught in other courses

By Andrew M

•

Oct 13, 2017

Much less intensive than the first few courses, but still lots of great practical information.