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

4.8
stars
49,631 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.

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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2676 - 2700 of 5,688 Reviews for Structuring Machine Learning Projects

By EC-A-411 S V

Apr 8, 2020

I have gain tons of knowledge by spending grams of time

By Priyam S

Aug 27, 2019

very insightful and relatable to industrial environment

By Alexander R M

May 7, 2019

You need to take this course to get the bigger picture!

By ken A B

Oct 25, 2018

outstanding advice within the videos and simulations...

By Hamidreza F

Aug 13, 2018

Really Helpful for managing the deep learning projects.

By Alexander L

Jul 22, 2018

a lot of real world questions are explained! awesome!!!

By Pankaj S

Apr 15, 2018

Undoubtedly the most practical course....Thanks a lot..

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 AMIT K

Nov 11, 2023

Very Deep and Easy to Understand the each minute topic

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