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
46,496 classificações
5,334 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

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.

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.

Filtrar por:

2851 — 2875 de 5,277 Avaliações para o Structuring Machine Learning Projects

por RUOCHI Z

2 de Mai de 2018

thanks for providing the amazing courses

por Tieu L M

2 de Abr de 2018

Invaluable recommendations from experts.

por Siarhei K

25 de Mar de 2018

Few issues with video recording process.

por Devyesh T

27 de Jan de 2018

The most important course in the series.

por 王宇晟

1 de Jan de 2018

thanks andrew! this class help me a lot!

por Ola A

14 de Out de 2017

Very helpful course. Thank you very much

por XUAN T P

5 de Set de 2017

Great course. Waiting for next 2 courses

por Cristina S C

12 de Mai de 2021

Great advices to improve any ML project

por Maria V

10 de Jan de 2021

Pure gold for the practical side of ML!

por Kush S

8 de Jul de 2020

Easy to understand egs & clear concepts

por Kamel M

12 de Jun de 2020

A very good and comprehensive courses

por Madhamshetti P k

29 de Mai de 2020

It was very good and easy to understand

por Peizheng L

13 de Mai de 2020

很少见的系统讲解深度学习系统的构建以及优化方法,相信在实际运用中会有很大的作用

por Derek L

6 de Mai de 2020

Great course with useful information!!!

por Avinash S

6 de Mai de 2020

Help to get a order to prepare projects

por Rishikesh K

4 de Mai de 2020

Good course for structuring ml projects

por Masoud M H

27 de Abr de 2020

Very Good Information on Structuring ML

por Jesus G

16 de Abr de 2020

A very thoroughful theoretical insight.

por 徐桂生

9 de Abr de 2020

great sharing from industry experience;

por Dasha G

16 de Nov de 2019

Very useful course for ML practitioners

por Steven D

19 de Ago de 2019

This particular course was a lot of fun

por Nithin K R D

15 de Mar de 2019

All the strategies provided makes sense

por Octav I

23 de Dez de 2018

Great examples about real case projects

por Ruhil M S D

5 de Nov de 2018

I absolutely enjoy Andrew Ng's courses.

por gabriel d d a

1 de Nov de 2018

Marvelous course, Very well explained !