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:

1551 - 1575 of 5,719 Reviews for Structuring Machine Learning Projects

By Trevor A

•

Oct 9, 2017

Outstanding course digging into difficulties that would otherwise take many years of experience to manage.

By Ridho M

•

May 2, 2021

thanks andrew, you are every student at this community wanna be, and congrats for and carol for the birth

By Alin M

•

Feb 21, 2021

I really liked this course, now I should apply what I've learned so far in small projects, to begin with.

By Paul S

•

Jul 20, 2020

This course has really helped me in reflecting on previous projects and extracting the lessons from them.

By Ankush N

•

Jul 10, 2020

The assignment questions are nicely framed for theoretical understanding of working on an actual project.

By Ankur S

•

Jun 13, 2020

Got to learn things that normally may take years of experience. Great course taught by a great Professor.

By Carlos G Y

•

Apr 16, 2020

As always, Andrew is a great instructor and this course has given me some important AI-related abilities.

By Sajib K S J

•

Apr 14, 2020

The way NG Sir explains the content is simply amazing. I can't wait to complete other courses of NG Sir.

By Youssef M

•

Mar 31, 2020

Very powerful course, to learn fundamentals which helps you a lot in describing and building your project

By Delwin J

•

Dec 2, 2019

Nice course for inspiring and making us understand how to go with projects. Thank you to the instructors.

By Óscar M A

•

Nov 22, 2019

I learned a lot of interesting and valuable insights, and all the information in the course seems useful.

By Daniel A M B

•

Oct 4, 2019

Interesante lo de las distrubuciones de datos y la cuestión de está de revisar los datos de la neural net

By Saloni B

•

Aug 21, 2019

Content of this course is very different and new. Very clean and detailed information has been presented.

By swetha n

•

May 26, 2019

Best ML course I have taken - very unique compared to other ML courses online. Very practical and useful!

By Tom S

•

Mar 10, 2019

Great class. They say experience is the best teach, but some one else's experience is sure a lot easier.

By Sonal K

•

Dec 31, 2018

This is a really awesome course which gives you a very good insight of how to work on ML and DL projects.

By Kun W Y

•

Mar 4, 2018

Teacher Andrew talks many differences between ML and DL implementation, which is a pretty awesome course.

By Jake S

•

Dec 7, 2017

I loved this course. I've learned so many practical skills that I've already started to apply to my work.

By Wei-Cheng Y

•

Aug 28, 2017

very useful concepts for systemic approach to tuning machine learning projects, thank you for the course!

By Paul L

•

Oct 15, 2022

Very intesting as all the logic explained can be applied to Machine Learning and Deep Learning projects

By Kamyar A

•

Mar 5, 2021

An excellent complementary course besides practicing programming and practical Machine Learning lessons!

By Krishna R

•

Jul 20, 2020

It was a great course, this course conveys very good ML Strategies. Thank You Andrew Ng for this course.

By Manish S

•

Jul 13, 2020

Very helpful, Sign of model building approach which generally we learn through many years of experiences

By Surjya R

•

Jul 6, 2020

Provided much-needed insights that only come from years of experience, and rarely covered in text books!

By Vishakha C

•

Jun 25, 2020

helpful in testing your knowledge if you already have knowledge about machine learning project pipelines