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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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2851 — 2875 de 5,501 Avaliações para o Structuring Machine Learning Projects

por Kishan B S

18 de jun de 2018

Very pragmatic course for all data scientists

por Phailendra D

17 de abr de 2018

Very good course on structuring the projects.

por Jiaming H

19 de mar de 2018

Great Course. Better if have coding exercise.

por Aravinda G

17 de mar de 2018

Amazing course! Thank you very much Coursera!

por Julio

14 de mar de 2018

now, i have more general knowledge about this

por Cristian R M

20 de fev de 2018

Unique gold course for real projects in ML/DL

por Fabian S

10 de fev de 2018

very useful, recommend to every practitioner!

por Wei X

2 de fev de 2018

important practical knowledge for application

por SONG G

3 de nov de 2017

Many helpful experience. It really helped me.

por C R S

10 de out de 2017

Good course, to take up serious project in DL

por Hao Z

15 de set de 2017

Great course to get a lot of practical ideas!

por Keith B

11 de set de 2017

helpful perspectives when tackling a project!

por Hemant B

8 de set de 2017

very small course , some really good insights

por Mohammad M M

27 de jun de 2022

best practical tips in machine learning area

por Lidong S

9 de mar de 2022

Very helpful for deep learning system design

por Chinmay I

26 de jan de 2022

T​he practical guidelines were very helpful.

por Liang-Yao W

27 de mai de 2021

Very useful guide / strategy for ML projects

por Glendon H

12 de mai de 2021

Short, valuable, and worth the time. Thanks!

por Lisandro E A

16 de nov de 2020

Great course! I am sure it will be useful <3

por Christine W

14 de nov de 2020

Love the interviews at the end of each week!

por Varun K

14 de out de 2020

Great course!! Andrew sir is a great teacher

por Rifat R

23 de mai de 2020

Professor is too much knowledgeable. Respect

por zios s

29 de nov de 2019

Great tutoral. and Andrew Ng as always best.

por Sam D

12 de fev de 2019

Shorter course, but very useful nonetheless.

por liuyaqiu

22 de jan de 2019

Good course for machine learning experience.