Chevron Left
Voltar para Structuring Machine Learning Projects

Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
estrelas
47,782 classificações
5,488 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

JB
1 de Jul de 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

TG
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.

Filtrar por:

2501 — 2525 de 5,450 Avaliações para o Structuring Machine Learning Projects

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.

por Vin B

25 de Out de 2017

Thanks again for this amazing course Prof Andrew and staff

por Zhiyuan Y

9 de Out de 2017

这门课从很多角度为我们介绍了实际情况中训练机器学习模型可能遇到的问题和解决方法,是一个很有实战意义的课程,收益颇丰!

por Arnav C

20 de Set de 2017

One of the best courses I have ever taken. very practical.

por Adail M R

19 de Set de 2017

Very helpful tips on how to start and optimize ML projects

por Hector D M P

2 de Set de 2017

Mainly because it was new material that I haven't reviewed

por Balakumar R m

11 de Jul de 2021

Pretty interesting ideas this course can grid one's loins

por Tanishka M

24 de Abr de 2021

Beautifully captured the essence of ML Project teamwork !