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

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.

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.

Filtrar por:

2676 — 2700 de 3,049 Avaliações para o Fundações do aprendizado de máquina: uma abordagem por estudo de caso

por Flavio B

9 de fev de 2016

por GOLLAPUDI R C

23 de nov de 2015

por Charupriya S

21 de jul de 2020

por Sankara S K

22 de set de 2018

por Nil K P

10 de jun de 2020

por Jakkamsetti S D

27 de abr de 2020

por Om D

4 de dez de 2019

por Oleg S

21 de jul de 2017

por JUTUR S V

24 de jun de 2020

por Alberto M

21 de set de 2018

por Neilmani S

13 de fev de 2018

por Yang W

10 de mar de 2016

por Priyanka J

18 de jun de 2020

por Abhinav M

1 de abr de 2018

por Dominik S

26 de jun de 2017

por Sunny D

3 de mai de 2020

por Shishir S

28 de mai de 2017

por kulbhushan

27 de out de 2016

por BIAN D

15 de jun de 2016

por A d v

9 de jan de 2022

por Royal P

18 de nov de 2020

por Reginald A L

20 de set de 2020

por Li Y

15 de out de 2017

por Yunqi H

24 de jan de 2020

por Nitin K

4 de mai de 2017