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

4.8
stars
49,679 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

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.

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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1026 - 1050 of 5,694 Reviews for Structuring Machine Learning Projects

By Nils-Jörn

Dec 14, 2020

I like these very realistic case studies which tell you how to tackle issues with your NN model and take your model performance to the next stage

By Ahammad U B

Sep 27, 2020

Great course similar to the first two course. I love you Andrew to help learning deep learning as well as structuring machine learning algorithm.

By Paulo N

Aug 16, 2020

Critical thinking about results of my experiments and how to think strategically in solving problems and running projects was incredibly awesome!

By Gautam M

Jan 11, 2020

It is one of the best and Important courses of this Specialization. This course taught you which no one tells you about ML projects in real life.

By Kumar U

Oct 5, 2019

It was a really wonderful and informative course. It really helped me a lot in understanding how to optimize and analyze real-world DL pipelines.

By Bernard L

May 20, 2019

Useful for those who are thinking of ways to debug their AI projects and also learning methods to deal with errors, biases and treating datasets.

By Elvis S

Jan 18, 2019

Enjoyed the real world scenarios... I think those were super helpful to understand various scenarios and how to strategize ML tool and resources.

By 杨铭宇

Apr 15, 2018

A fantastic course, and very cool!! It teaches a lot of the most popular and fashionable techniques used in AI projects. I appreciate it so much.

By M J

Aug 15, 2017

The material here are truly invaluable as they have been gathered together as one easy reference. Excellent explanation and examples from Andrew.

By Phan Q K N

Jan 21, 2022

This course is so wonderful. I love the contents and how realistic and useful the assisgnments are to consolidate concepts learnt from lectures.

By Bradford G

Jul 8, 2021

This is a fantastic course, I feel like I had a preview of what it will be like making adjustments to solve a problem. Very insightful teaching.

By Aleksandr G

Jul 17, 2020

Incredibly useful course! I believe that I will save many hours of working around models because I of the knowledge that I got from this course!

By Ronakkumar N P

May 25, 2020

Thanks for this course. It is really helpful to structure the ML problem and go ahead with the project. A very systematic approach is explained.

By Lisa E

Oct 22, 2019

There are some errors in the videos (the video doesn't stop when the instructor is done talking, some parts are repeated for a few seconds etc.)

By Xun Y

Apr 14, 2019

So far the most useful course in this specialization. Not technical intensive, but a lot of useful tips in real world machine learning projects.

By Bayartsogt Y

Feb 24, 2019

Completing this course was such fun and useful for me who is trying to build the good system in Mongolia which is not that good develop country.

By Deepak S

Jan 12, 2019

This course helped me understand the niches and important things which needs to be noticed while working on a machine learning project.

Thank you

By Sami

Feb 15, 2018

i liked these 2 flight simulators course, where i get to be in a virtual scenario, to take the right decision, to save the team and the project.

By Taekyung H

Jan 28, 2018

This course is helpful as a guidance to build my own deep learning project. Based on the guide, I can select proper strategy to achieve my goal.

By Anubhav B

Nov 26, 2017

This course provides deep insights into how to develop an approach to real life problems. A must-do course for all machine learning enthusiasts.

By Ruby C

Nov 12, 2017

Quite nice and intuitive. Work is pretty light too - as the others can be a tad too codey. Some interesting gathering of thoughts in this module

By ანზორ გ

Nov 1, 2017

I liked a lot. I got very big experience . This course is full of advices and best practices which helps you while working through the projects.

By Ashin K A

Jul 25, 2022

Great course! This helped me to learn things that I could have got only after years of experience. Thank you so much to Andrew NG sir and Team.

By David R N

Sep 21, 2021

Excellent course, where you learn to diagnose a model and prioritize possible improvements in a machine learning project. Highly recommended.

By Kiet P

Jun 28, 2020

So far I feel like this is the most important course in this specialization. Please focus because it will save you a lot of time in the future.