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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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801 - 825 of 5,688 Reviews for Structuring Machine Learning Projects

By Ferdi A

Mar 15, 2020

Very essential topic, professionally handled by Mr. Andrew Ng. Thank you all for your efforts, you are start-to-end covering deep learning. Hope i can continue with CNNs.

By Rahil M

Feb 29, 2020

This course was pretty useful and related to the problems that one faces in real life situations and projects and provides a great methodology to deal with those problems

By Sintyadi T

Sep 13, 2018

The courses helps me understand how to work in a real machine learning projects. It does not have any practical coding part, but at least the information was good! Thanks

By Vladimir R

Jan 10, 2018

I really liked the format of the assignments for this course. Case studies are incredibly useful and give a global understanding of the different aspects in a ML project.

By Elena B

Sep 15, 2017

The course gives hints on how to structure and manage a deep learning projects, on which parts to put priority first in order to efficiently use time to get good results.

By Kenza “ B

Jun 20, 2023

This course has helped me understand ML projects in a more expanded perspective, and doing well in it motivated me to double down my efforts in the deep learning course!

By Shahd A H

Apr 1, 2023

Again, such an incredible course! I really loved to learn startegies from the experienced Andrew Ng. This helps me shape my ideas when working on ML projects. Thank you!

By Hao X

Aug 31, 2020

I learned a lot of strategies from this course regarding pitfalls and how to better structure machine learning projects. This is really valuable experience from experts!

By Yau W K

Jul 18, 2020

Really good course that any ML (future or present) practitioners to learn. In my opinion, more important to learn than the other technical courses in the specialization.

By Petar

Jul 5, 2020

A very interesting course, no doubt afterwards you will be able to structure a machine learning project and know how to evaluate the different factors that influence it.

By Erik H

Jul 19, 2019

This course packs a lot of highly valuable practical knowledge. It has helped me a lot in applying DL better in practice and save a lot of time when creating new models.

By Peter P

Mar 10, 2019

Excellent practical advice on how to make quick decisions when faced with a dilemma during ML projects. The simulations really help bringing the course material to life.

By Jan R

Jan 9, 2019

Extremely practical. Much shorter than other courses in Deep Learning specialisation but definitely not less informative. I also enjoyed the Flight sim a lot, nice idea.

By Nitesh U

Feb 5, 2018

The material presented here is greatly useful. Learning these concepts by own require a lot of year of experience. I wish more details were presented about each concept.

By Anthony S

Oct 10, 2017

I personally enjoyed this class (especially after the second class in the specialization) and I will definitely be using some of the knowledge soon enough. Thanks again!

By Akshay K A

Apr 20, 2020

This course gives practical aspects of problems faced in machine learning projects. You must have knowledge of these ideas if you want to compete in fast growing world.

By SHUBHAM E

Mar 16, 2020

The most fun and intuitive course in the deep learning specialization. Amazing literature by prof Andrew NG. Would suggest every practitioner to go through this course

By Sameerkumar_Ramakameshwara v

Apr 9, 2019

One of the best courses of DL specialization. The knowledge shared is invaluable and it is tough to get such good insights elsewhere. Thanks to Prof Andrew Ng and Team.

By Subhadeep D

Feb 14, 2019

Great course on how to tackle various issues while handling real data. I thank Coursera and Deeplearning.ai for providing such a course that everyone could make use of.

By GURAJAPU S S

Jul 30, 2021

I got an opportunity to work on the real world issues we see while working on a Machine Learning project. Thanks to my instructors, curriculum developers and Coursera.

By Anirban S

May 16, 2021

This course is an impressive take on an often overlooked part of Deep Learning Projects. Taught by Andrew Ng lucidly, this course can make for a good weekend learning.

By BRAYAN Z

Aug 23, 2020

Muy bueno el material, Yo tengo experiencia con esto y veo que tocan puntos de mucho nivel e interez que pueden facilitar la creacion de vario contenidos y desarrollos

By Abhigyan C

Jul 11, 2020

This course really helped me understand the concepts I learnt in the previous courses and get a real feeling for how it would be to do a real project in Deep Learning.

By Okta F S

Jul 10, 2020

By taking this course I can get deeper understanding about how to doing error analysis properly. I think it's very important process in developing deep learning model.

By Pedro R B

Jul 7, 2020

Hard to find a good course explaining details on produtizing and rationale on strategic planning of systems using Deep Learning. A great course that I would recommend!