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
46,916 classificações
5,382 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

AM
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.

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:

2601 — 2625 de 5,334 Avaliações para o Structuring Machine Learning Projects

por Andrei V

24 de Ago de 2018

Great way to get a glimpse of a researcher's work :)

por Mirzodaler M

30 de Abr de 2018

Very interesting, useful and helpful course. Thanks!

por afshin m

6 de Fev de 2018

Excellent information, most useful during a project.

por Manuel Q

28 de Dez de 2017

Brilliant course as all Andrew NG courses use to be.

por 刘晓鹏

3 de Nov de 2017

Andrew Ng老师通过这门课系统化的传授了,在项目中会遇到的实际问题,让大家少走弯路,节省宝贵的时间

por 刘岩

28 de Out de 2017

very helpful for constructing a deep learning system

por Farrukh

24 de Out de 2017

Amazing insights, some which can save months of work

por RobinChan

6 de Set de 2017

Useful suggestions for MLers who are doing projects.

por Tobias L

26 de Ago de 2020

Great course, focusing on the bigger picture of ML.

por Caroline W

2 de Ago de 2020

The course is useful, and the teacher teaches well.

por Shankar M

6 de Mai de 2020

Wow! Any machine learning beginner would love this!

por Diego M

24 de Abr de 2020

Gives production experience to a junior AI engineer

por Han-Chung L

25 de Jan de 2020

The insights provided by Prof Ng is second to none.

por Miguel A Z G

23 de Jan de 2020

Those case study were awesome! totally recommended!

por Jorge M G O

28 de Jul de 2019

Thanks, I learned a lot of things with this course.

por Anand V

26 de Jul de 2019

case study is great. That helps to think strategy.

por Shail R

14 de Nov de 2018

Excellent insights based on significant experience.

por Peter S

10 de Nov de 2018

Very useful. Liked the case study type assignments.

por Daniel L

24 de Jun de 2018

Great course with some useful tips for practical ML

por Ashwini k p

27 de Abr de 2018

Truly unique material not available in books or web

por Hassan S

4 de Abr de 2018

Thanks a lot for the simulations, I did enjoy them!

por Huy P

25 de Mar de 2018

Really awesome, practical workflow with case study!

por Mohamed R M H

1 de Fev de 2018

Thanks coursera for this course.It was very useful.

por Tsang S H

26 de Nov de 2017

Systemic workflow is rarely mentioned in papers !!!

por Guillaume H

14 de Nov de 2017

Great, the most useful course so far to be honnest!