Chevron Left
Voltar para Fundações do aprendizado de máquina: uma abordagem por estudo de caso

Comentários e feedback de alunos de Fundações do aprendizado de máquina: uma abordagem por estudo de caso da instituição Universidade de Washington

4.6
estrelas
13,101 classificações

Sobre o curso

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. -Describe the core differences in analyses enabled by regression, classification, and clustering. -Select the appropriate machine learning task for a potential application. -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. -Represent your data as features to serve as input to machine learning models. -Assess the model quality in terms of relevant error metrics for each task. -Utilize a dataset to fit a model to analyze new data. -Build an end-to-end application that uses machine learning at its core. -Implement these techniques in Python....

Melhores avaliações

SZ

19 de dez de 2016

Great course!

Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

PM

18 de ago de 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.

The forums and discussions were really useful and helpful while doing the assignments.

Filtrar por:

2801 — 2825 de 3,049 Avaliações para o Fundações do aprendizado de máquina: uma abordagem por estudo de caso

por Albert V

8 de dez de 2020

por Philippe N

5 de abr de 2020

por Varun R

4 de jan de 2016

por vitali m

7 de mar de 2018

por Kelsey H

31 de dez de 2019

por Pier L L

10 de ago de 2016

por Kevin C

5 de out de 2020

por Andrey B

4 de jun de 2016

por Ghassan M

11 de nov de 2021

por Jakub V

1 de set de 2018

por Christopher O

7 de nov de 2016

por Konrad Z

14 de ago de 2017

por XingliangZhao

24 de dez de 2019

por Chris T

18 de jan de 2017

por Manuel O

31 de ago de 2016

por Jess T

29 de ago de 2017

por Dheeraj A

27 de nov de 2016

por Christopher W

6 de mar de 2016

por Sander v d O

1 de abr de 2016

por Sean I

5 de nov de 2017

por James H

1 de jul de 2020

por 周玮晨

28 de jun de 2018

por S M R A

9 de mai de 2020

por Katya H

26 de abr de 2016

por Iker U

11 de abr de 2017