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Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição

48,866 classificações

Sobre o curso

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....

Melhores avaliações


30 de mar de 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.


1 de dez de 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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2551 — 2575 de 5,574 Avaliações para o Structuring Machine Learning Projects

por Bryon H

4 de mai de 2020

Lots of useful strategies for many deep learning problems.

por Roman N

22 de abr de 2020

Great techniques and insights from excellent practitioner!

por Yuwei W

2 de mar de 2020

the methods and strategies in this course are very useful!


25 de nov de 2019

Clear Explanation of Minute Techniques in Machine Learning

por Chandu W

3 de nov de 2019

Very systematic and thought-provoking approach. Thank you!

por Jonathan F

9 de ago de 2019

Helpful overview of how to conduct a deep learning project

por Nenad S

8 de jun de 2019

Builds great intuition for building and improving systems.

por Chris W

11 de mai de 2019

Great practical advice for applied deep learning projects!

por Manawaduge D

9 de fev de 2019

Excellent complement to the courses 1 & 2. Very practical.

por Ricardo A

8 de jan de 2019

Great Practical Knowledge and Tools to use in ML projects!

por Andreas G

4 de nov de 2018

A course that every machine learning engineer should take.

por Fred N

28 de out de 2018

Very useful insights and guidelines from real-world cases!

por hong c

27 de ago de 2018

very good,thanks for all teachers.thanks for all your work

por Benigno C

21 de jul de 2018

Very interesting concepts to keep in mind in all projects.

por Hao D

25 de abr de 2018

Nice course, and extend my experience in DL. Thanks a lot.

por Hardik S

17 de abr de 2018

Very good course and very crisp and upto mark explanation.

por Ash H

13 de mar de 2018

Very Helpful as it will allow me to structure a ML project

por Yash N

13 de mar de 2018

Loved the course! Thanks for curating the amazing content!

por Adarshdeep S

3 de mar de 2018

One of the most interesting courses of the specialisation.

por Oleksandr P

11 de fev de 2018

Now I know much more about improving ML model performance!

por Sujit T

6 de jan de 2018

Quite valuable information on how to approach ML problems!

por Aniket P

31 de dez de 2017

Very good insights on how to go ahead in stuck up projects

por Jian Z

25 de nov de 2017

Very insightful class with clear and intuitive explanation

por Miguel M

16 de nov de 2017

You won't find the materials of this course anywhere else.

por Stoyan A

1 de nov de 2017

Gives great intuition on making progress on an AI project.