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

48,116 classificações
5,520 avaliações

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


22 de nov de 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.


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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2426 — 2450 de 5,487 Avaliações para o Structuring Machine Learning Projects

por gaozhipeng

29 de dez de 2017

has a lot tuitions on practical issues! Very much recommended!

por Steven S

17 de nov de 2017

Fantastic content and concise easy-to-understand presentation!

por Arushi A

7 de out de 2017

good insight to make decisions on how to prioritise ML problem

por Derek C

3 de set de 2017

Excellent course, full of really useful advice and techniques.

por Viktor K

26 de jul de 2021

O​ne thing they don't teach you at universities. Thank you!!!

por scico m

19 de fev de 2021

awsome but need some coding noteboot as example or assignment

por David J

23 de ago de 2020

Learned a lot, the instructor has a great presentation style.

por shihab s

19 de jun de 2020

Really give you a better understanding over different models.

por - A U S

27 de mai de 2020

Very helpful exercises; truly put your learnings to the test.

por Adarsh S

17 de mai de 2020

One of the best course to get some insight of the real world.


16 de mai de 2020

It´s an excellent course about Machine Learning for Beginners

por Pravesh S

13 de mai de 2020

Very detailed, and crux. Nobody teaches like this in academia

por Luca P

26 de fev de 2020

Precious baggage of wise tips to become smarter practitioners

por Ganapathy C

30 de dez de 2019

Amazing course to start Machine Learning. Thank You Andrew Ng

por Zhiqian H

3 de out de 2019

Very practical aspects of managing machine learning projects.

por Tuấn L

12 de ago de 2019

Helpful course with many practical case studies and examples!

por Jummel S

30 de jun de 2019

This will be really useful for my future projects. Thank you!

por Murat T

12 de mai de 2019

Gives you nice insight about optimizing time schedule for ML.

por zhengli

10 de mar de 2019

I really learned a lot from this course. Thank you very much!

por Vitalii S

8 de mar de 2019

Good examples and very, very good advices to apply DL systems

por Gaurav A

9 de fev de 2019

This is one of the most profound courses I have taken so far!

por Khoo T S

12 de dez de 2018

Great, it helps to build a good deep learning models quickly.

por Pramod K

10 de jun de 2018

This is a course that is useful for a practicing ML Engineer.

por 김태겸

14 de mai de 2018

It is really helpful for building real deep learning systems.

por Valentin A

8 de abr de 2018

Great course and great advice on how to approach DL projects.