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

48,226 classificações
5,533 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


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.


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.

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2801 — 2825 de 5,501 Avaliações para o Structuring Machine Learning Projects

por Subrato C

9 de set de 2018

I never knew I could learn so much from a MOOC.

por Arturo M R

29 de jul de 2018

A "must" in order to become a real ML scientist

por Plusgenie

28 de jul de 2018

전체적으로 Training/Dev/Test를 명확하게 이해할 수 있어서 좋았습니다.

por Jianhong X

14 de jul de 2018

I find this one most helpful among all, really.

por Youssef Z

12 de jul de 2018

Thank you for your efforts , really nice job :D

por akash

29 de mai de 2018

I have not seen these materials anywhere else.

por Paulo V

11 de mai de 2018

Great practical insights taught in this course.

por Steven M

25 de mar de 2018

Amazing work of the team again!

por Neeraj

2 de mar de 2018

The best practical lessons so far on the topic.

por Ankur G

27 de dez de 2017

Very good for practitioners and industry users.

por Yacoub S

28 de out de 2017

Awesome course! Thanks once again Dr. Andrew :)

por Gowri S

23 de set de 2017

Little bit difficult compare to first 2 course.

por Andrey S

9 de set de 2017

Great course on the strategy about ML projects!

por HJ.Lee

19 de ago de 2017

Very helpful for DL Projects

#Empirical #Applied

por Ishant k

21 de dez de 2020

learn about planning and model error analysis.

por Shahriar M S

28 de out de 2020

Very effective course learn many new concepts.


17 de ago de 2020

A great course.. I loved the case study part..


31 de jul de 2020

Loved the course and gained valuable insights.

por ehsan

15 de jul de 2020

the most helpful course of this specialization


4 de jun de 2020

Really I learned many new concepts. Thank you.


24 de mai de 2020

Excellent. Transmission of a large experience.

por eon t

7 de mar de 2020

great. learned a lot. very concise and helpful

por 曾湘

25 de nov de 2019

very good structure of deep learning practice.

por Stelios S

14 de mai de 2019

Extremely helpful practical tips and insights!

por Deleted A

9 de abr de 2019

no one create better material than this course