Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
50,033 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

WG

Mar 19, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

MG

Mar 31, 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.

Filter by:

2951 - 2975 of 5,736 Reviews for Structuring Machine Learning Projects

By Huaizheng Z

•

Aug 25, 2017

Good for researcher to review basic knowledge.

By 陈啸（Shawn C

•

Aug 25, 2017

This course will help you avoid many mistakes.

By Nicolò F

•

Sep 21, 2024

It is very interesting and easy-to-understand

By Masahiro M

•

May 4, 2021

Very practical with really good case studies.

By Maria R

•

Mar 21, 2021

Very easy to understand, ilustrative examples

By Chang X

•

Oct 28, 2020

thanks Andrew for the great course materials!

By Heidy E M N

•

Aug 11, 2020

UN MUY BUEN CURSO APRENDI MUCHAS ESTRATEGIAS.

By mayukh m

•

Apr 13, 2020

great case study approach to machine learning

By Christian D C H

•

Oct 15, 2019

Excellent practical advise by Prof. Andrew Ng

By Almir I

•

Mar 13, 2019

It's a great but short (2 weeks only) course!

By Qasid S

•

Feb 7, 2019

I haven't seen this type of guide on any Mooc

By Manuel F M R

•

Jan 10, 2019

Very valuable and practical insights. Thanks!

By Wadikur R

•

Dec 25, 2018

This course so essential and I learned a lot.

By ZW

•

Sep 3, 2018

Great course content, could be longer though.

By Alice G

•

Jun 27, 2018

Very good lesson on more strategic approaches

By Kishan

•

Jun 19, 2018

Very pragmatic course for all data scientists

By Phailendra D

•

Apr 17, 2018

Very good course on structuring the projects.

By Jiaming H

•

Mar 19, 2018

Great Course. Better if have coding exercise.

By AG

•

Mar 17, 2018

Amazing course! Thank you very much Coursera!

By Julio

•

Mar 15, 2018

now, i have more general knowledge about this

By Cristian R M

•

Feb 20, 2018

Unique gold course for real projects in ML/DL

By Fabian S

•

Feb 10, 2018

very useful, recommend to every practitioner!

By Wei X

•

Feb 2, 2018

important practical knowledge for application

By SONG G

•

Nov 3, 2017

Many helpful experience. It really helped me.

By Ranga S

•

Oct 10, 2017

Good course, to take up serious project in DL