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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.

TG

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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601 - 625 of 5,688 Reviews for Structuring Machine Learning Projects

By 翁嘉进

Apr 7, 2018

It is a special lesson that guide me to think how to build a good model for ML. There is no doubt that Andrew ng taught his project experience without exception and hope that we can benefit from it.

By Amit M

Mar 8, 2021

Excellent course to understand the various nuances of structuring these kinds of "projects". Though if the content were presented as parts of programming assignments could have been easier to grasp.

By Muhammad A A

Sep 14, 2020

Andrew Ng, awesome teaching technique and well-designed course content make it easier for deep learning beginner to learn how to structure your machine project smoothly and do not lost in a process.

By Budhathoki B

Jul 7, 2020

The course was very insightful on how to tweak and evaluate and measure the performance of your model. I loved the course very very much. Hope to see more courses from deeplearning.ai and Andrew.

By Sai S B

May 7, 2020

This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.

By Х. А Р

Apr 3, 2020

I think this is the most useful course in the Specialization. Andrew reveals secrets about details which can speed up working in Deep Learning. It will help to avoid marking time in future projects!

By 杜谦

Feb 25, 2020

Generally, the course is great. This is a short course and could be combined with other courses in this series. Also, some knowledge such as data splitting has been introduced in the courses before.

By Amey N

Nov 12, 2019

The course gives a sound intuition and insight into the parameters to be considered and the crucial thought process involved in making the decisions for improving the performance of neural networks.

By Anshu S

Jun 21, 2019

Really a good course with mostly the theoretical knowledge on some aspects to reuse your model as well as some error analysis. Thoroughly taught with lots of real-life examples, thanks to Andrew Ng.

By Young L

Nov 29, 2017

It's a great course! This course gave me a lot of new perspectives in constructing a machine learning project. Especially, the discussion of data distribution in the train/dev/test set is fantastic.

By Balachandra J

Apr 25, 2021

Insights distilled from long experience, explained with simple examples. Probably like explaining quantum mechanics to someone who didn't arrive at the conclusion through rigorous first principles!

By Federico R

Jun 6, 2020

I really liked this course, such as I liked the rest of the courses in this Specialization. I honestly appreciate that this knowledge is shared, accessible, and made extremelly intuitive and clear.

By Naveen N C

May 11, 2020

Really a good course and got an insight into how to structure a machine learning project and some useful techniques for deep learning, such as transfer learning, multi-task, and end-to-end learning

By Chitra V

Jan 10, 2019

Interesting course especially for ML novices. A short course and could be completed quickly, however, one needs to carefully review the lectures to avoid missing key points. Well-structured course!

By Axel G

Jul 29, 2021

Although this course is the shortest one from the specialization this course have really valuable insight about how to propose a systematic way to solve a problem with Machine Learning techniques.

By arvind s

Mar 3, 2019

While there are lots of techniques out there, this course really helps you gain a different perspective on the bigger picture and teaches you to avoid some of the common pitfalls you may encounter

By Max B

Nov 21, 2018

Fantastic! As is pointed out by Andrew Ng, the material is not taught in other courses. You will get answers for a lot of things you might have wondered when working on a machine learning project.

By Ramón R

Mar 30, 2018

Shorter than other courses in this specialization, but realy important. It helps to structure machine learning projects to shorten the time and effort and to prioritize the different alternatives.

By Sunne K

Oct 4, 2017

Very insightful thoughts from an expert and legend in Deep Learning and ML. Well explained and easy to digest the information. Keep up the excellent work Andrew and thank you for your hard work!

By Muhammad I

Apr 21, 2021

This course taught so much about strategy and intuition on how we structuring our machine learning projects in order to save time and gain expected best results and what to do in our ML projects.

By Yap W S

Jul 5, 2020

Impressive course to guide us in planning machine learning projects. There isn't any calculation or programming exercises but we can gain the intuition that will take years to develop, I believe.

By Henry Q

May 22, 2020

Wonderful course! Great learning content and I love the quiz at the end. The flight simulator model for the quiz is fantastic. The bonus interviews were very interesting and exciting. Thank you!

By Samuel d Z

Mar 18, 2018

Fascinating insights how to solve issues in ML projects. Saves lot of time if you have to find out yourself. Great share of experience and very appealing and practical examples, easily explained.

By Ytsen d B

Aug 16, 2017

This was very insightful.

No rocket science, but taking to heart these lessons may save you and your team months of work.

Pragmatic way of thinking about getting your deep learning project to work.

By Elias M

Jul 8, 2020

I think this is the best way of understanding the models we build and train. Now I can understand where are the errors are coming from and how to focus and choose an error rate problem to solve.