Chevron Left
Back to Structuring Machine Learning Projects

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

4.8
stars
49,661 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:

726 - 750 of 5,692 Reviews for Structuring Machine Learning Projects

By Kuang-Han H

•

Sep 1, 2023

Although less technical than previous courses in the specialization, this course offers a lot of practical advice that I have not learned from elsewhere. Really valuable material.

By MD. B U A

•

Oct 6, 2020

This course was much better explained compared to the previous two. And the assignments were also better. Because you would need to put a fair amount of thought for each question.

By Jeffin S

•

Jun 14, 2020

I wish i did this before i did my live project dissertation at uni for my data science Msc. This would have saved me a lot of time and pressure! Thank you for this amazing course!

By Sima Q

•

Sep 8, 2019

As usual, a powerful course by Andrew... very well structured and excellent quizes...I wouldve like to see more practice quizes even if optional to strengthen what we have learnt.

By Raymond T Q T

•

Feb 4, 2019

a clear and helpful explanation on how to choose a strategy and make a neuron networks model working well, and also propose useful approaches to improve the error in the NN model.

By CHOY, T S

•

Sep 22, 2017

This is course is more than just about knowledge, it's about wisdom. Andrew guided us how to think and make decisions when applying deep learning in practice. This is truly a gem.

By Nimish S

•

Aug 17, 2017

Superb course on some really good practical aspects of machine learning and that too in Andrew's engaging and no-frills style

Kudos to Prof Andrew and rest of Deeplearning.ai team

By Abdelrahman M

•

May 25, 2021

A very short course but has a lot of best practices of structuring machine learning projects about where to start from and how to take your steps in order to aim the right target

By swaraj p

•

Jul 17, 2020

a really insightful course, perhaps more crucial than the other two.

the insights andrew gives are really important and it will need tonnes of experience to learn them on your own

By Xh L

•

Feb 25, 2020

Through the study of this lesson, I learned the cross-correlation between machine learning and deep learning, and gave me preliminary guidance in the layout of my large projects.

By Krishna T T

•

Dec 2, 2019

Definitely one of the best deeplearning courses I have come across. Even though I have the experience of working on deeplearning there are some points I can take from this course

By Amaranath B

•

Oct 15, 2019

I have gleaned valuable insights to approach a problem I had, And a proper procedure that helps me iterate through the model development cycle more efficiently , Thank you team !

By W. M V H W

•

Feb 11, 2019

The content is great but if there were a few exercises where we had to use tensorflow and complete a neural network, it would have been better practice. But the content is great!

By David M

•

Apr 8, 2018

Very instructive, easy to underestimate how fast you can waste your time in AI projects without proper analysis and management. This course should accelerate most of AI projects.

By VIPIN J

•

Oct 4, 2020

the amazing thing that i found in this course is that it consist of so many day to day life examples to explain the things,which makes tough things to understand in a easy way..

By fadi a

•

Oct 2, 2020

The course taught me so many practical skills, and it gave me a sense of how to deal with real-life problems when I want to build a deep learning application. Thank you so much!

By MIN H H _

•

Jul 29, 2020

Worth the time spent. I got to learn about when to use the different algorithms in deep learning. Dr. Andrew Ng explained it in a lucid manner and the content is easy to digest.

By Jeyabalaji S

•

Mar 10, 2019

This course contained useful tips on saving time on deep learning endeavours. The simulators really forced us to think through the situation and apply what we learnt. Way to go!

By himanshu n

•

Jan 19, 2018

Best course so far in deep learning specialization. Explains systematic ways of improving the performance of your machine learning system rather than trying in an ad-hoc manner.

By Deva C R M

•

Jan 4, 2018

This is a very unique course and really given a very good tips on how to structure my models for better outcomes. Thanks to Andrew for collating all his experiences and sharing.

By Piyush M

•

Dec 1, 2017

The course is well structured to understand how to go through a systematic process and make your Machine Learning Projects get pretty fast at learning. Awesome Work as usual. :)

By Vladimir V

•

Oct 10, 2017

Very useful discussions that most likely you won't find in any other setting except perhaps if you work in a company actually deploying machine learning products. Thanks Andrew!

By Khurram S

•

Sep 22, 2017

A course with excellent contents. This course contains DO and DON'T of Artificial Neural Network (ANN). Without these Do and Don't, one would mess up with ANN. Thank you Andrew.

By Michael R

•

Jul 16, 2021

This course is probably the most efficient day and a half I have spent in my deep-learning learning journey as far as increasing my confidence and effectiveness as an engineer.

By SANTHOSHKUMAR P

•

Jun 16, 2020

I have learned so much of concept in the structuring of machine learning projects and very awesome two case studies, clear cut of concepts of end to end deep learning approach.