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

4.8
stars
49,903 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.

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.

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1251 - 1275 of 5,720 Reviews for Structuring Machine Learning Projects

By Dinesh N

Jul 9, 2019

Very nice course to understand how we can start and run a machine learning project and where to focus to get a better outcome

By 林均鋐

Jul 7, 2019

It's really helpful if you've been working on several deep learning project.

These are the exact problems you would encounter.

By Bharat S S

Jun 4, 2019

I got an insight into the practical issues to consider when implementing large scale ML projects from this excellent course !

By Poorna J

Sep 4, 2018

Great Course - The experts were able to successfully Transfer their Learning from the years of experience in just a few hours

By srinivasan v

Jan 18, 2018

This is Great! Contains full of practical examples , tips and gives us very good sense of howcertain concepts are implemented

By John R

Aug 2, 2023

I love Andrew and all his teachings. he is absolutely correct machine learning is going to be the new calculus utility wise!

By Lucas M

Aug 30, 2022

Fantastic applied course. Definitely recommend for people who have trained a simple model but are struggling to optimize it.

By Ankit

Apr 25, 2022

Excellent coverage of practical machine learning topics. Quizes offer good sanity check of concepts covered in the lectures.

By Rishi G V

Jul 19, 2020

Thanks for the beautiful course. It is really helpful in clearing my doubts which I had earlier, but now these helped me lot

By Rishav K

May 31, 2020

This course is of immense value for those who are building and applying the concepts of Deep learning in a real environment.

By Abhijith A

Feb 27, 2019

If u are ever doing a project on deep learning this course can really save u lot of time and guide u in the right direction

By John S

Nov 4, 2017

Wonderful material. Really like Jupyter as well. Can't wait to have my own data to work with. It seems that is the turn key.

By Markus L

Oct 26, 2017

Gives excellent overview of practical advices and strategies what to do and look for when the network is not doing good job.

By Vipin V

Oct 5, 2017

So many things seems obvious when he explains it,but those topic are from real time project experience.I really enjoyed it.

By Jiang H

Aug 20, 2017

It is a very useful course. The ideas and rules to build machine learning projects can also apply to other area of research.

By Robinson M

Dec 2, 2023

Curso innovador y con un gran contenido, se explican cosas que no se ve en otros cursos o incluso en mi Magister no lo vi.

By Aditya R

Aug 1, 2022

Great insights about ML projects, awesome case study based quizes. Lot of tips and guidelines to help you with ML projects.

By Md. W T R ,

Aug 24, 2020

Thank you Mr. Andrew Ng. and people involved with the course for making it so informative, Learning friendly and flexible..

By Ehushubhamkishoreshaw

Jun 15, 2020

i learned end to end learning and how to solve some ML errors and also learned or got an idea of how a self drive car works

By Evan P

May 8, 2020

I loved the practical knowledge this course contained. I feel like it contains so many things that are useful for industry.

By 1

Apr 25, 2020

The course was very useful, and it covered all the practical aspects of deep learning. Will definitely help my career in ML

By Yuanzhan W

Jun 5, 2019

Gives very practical advice on how a problem in machine learning can be approached. Recommends it to deep learning newbies.

By Gyuho S

Apr 20, 2019

It is such a masterpiece in Neural Network. I feel like I am fully equipped now and I cannot wait to dive into CNN and RNN!

By Tarun

Jun 17, 2018

An amazing course covering those industry relevant aspects of deep learning and machine learning which not many courses do.

By George T

Dec 17, 2017

It will be nice that, after the quiz is passed, correct answers along with explanations will be provided for all questions.