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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.

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.

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4951 - 4975 of 5,688 Reviews for Structuring Machine Learning Projects

By Priyansh J

Nov 28, 2019

Great teacher and great content. thought content could have been more! but overaal it was great.

By Stefan L

Feb 20, 2019

It's nice to get some insight into projects. It would be great to have even bigger case studies.

By Vaibhav J

May 19, 2018

It would be a better course if you give more problem assignments. Rest everything was very good.

By yassine a

Jan 21, 2018

The videos are so long, there is a lot of repetition. it would be better to do it in three weeks

By 鞅骠豪

Jan 14, 2018

我觉得应加上一些demo使我们更加深刻体会到这些技巧的作用,至少感受一下。此外,强烈建议恢复总结单元,可以不是ppt但至少也要是个文章,总觉得现在的课程有点赶。没很好的方法复习学过的内容!!!

By Mahesh S P

Apr 23, 2020

Good experince of working on ML/DL projects is given in this course. Quiz 1 is little confusing

By Anna M

Mar 6, 2018

A lot of useful information, but perhaps some areas should have been explored in greater depth.

By Timothy D

Oct 13, 2017

This course was a lot more interesting then I thought it would be. Very useful knowledge here.

By Gopal S P

Jul 11, 2020

Great content.

Too many dimensions to think about which is good and exhaustive at the same time

By ABY P

May 25, 2020

learned real life implementation and how things working on industries, but content was so slow

By elias m

Apr 16, 2020

I wish I had this course when I started working in data science

Thanks

Elias Mokbel, CFA, M.Sc.

By Jochen I

Mar 1, 2018

Still fun but much less practice (no programming assignments) makes it a little less thorough.

By Nick R

Jan 7, 2018

Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.

By Bobby

Oct 24, 2017

Lecture was good but no programming assignment for this course. I took out one star for this.

By Ramachandran C

Oct 12, 2019

Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.

By Arthur J

Jul 20, 2019

It would be great to have some materials to be able to go back to once done with the course.

By Kyle S

Oct 23, 2017

This is a great course. It will be an invaluable reference when tackling real-world problem.

By Yang Z

Oct 20, 2017

Some videos don't end properly and instead give you a black screen to stare at for a minute.

By Akhtar H

Feb 9, 2021

This is little bit tricky course. But main understanding comes when you solve case studies.

By Neel K

Oct 19, 2020

It was better to include some more case studies. This was a better real-time understanding.

By Michael L

Jun 10, 2020

Sometimes, the explanations/advices given were too lengthly and contained some repetitions.

By Amielle D

Jul 24, 2019

There were some typos throughout the course, but the core topics were still discussed well.

By Tariq A

Jan 12, 2019

A good quality course, would have loved to have some programming exercises to go with this.

By Ankur K

Nov 13, 2017

It would have been a little better if some assignments were also provided with this course.

By h_st

Aug 1, 2021

It was really nice. Maybe some more hints could be given. I missed my own programming ;-)