In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do.
Este curso faz parte do Programa de cursos integrados Practical Data Science with MATLAB
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Informações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 22 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
- Machine Learning
- Matlab
- Predictive Modelling
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
Aprox. 22 horas para completar
Inglês
Legendas: Inglês
oferecido por
MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
Programa - O que você aprenderá com este curso
5 horas para concluir
Creating Regression Models
In this module you'll apply the skills gained from the first two courses in the specialization on a new dataset. You'll be introduced to the Supervised Machine Learning Workflow and learn key terms. You'll end the module by creating and evaluating regression machine learning models.
5 horas para concluir
11 vídeos (Total 73 mín.), 8 leituras, 7 testes
4 horas para concluir
Creating Classification Models
In this module you'll learn the basics of classification models. You'll train several types of classification models and evaluation the results.
4 horas para concluir
6 vídeos (Total 45 mín.), 7 leituras, 2 testes
8 horas para concluir
Applying the Supervised Machine Learning Workflow
In this module you'll apply the complete supervised machine learning workflow. You'll use validation data inform model creation. You'll apply different feature selection techniques to reduce model complexity. You'll create ensemble models and optimize hyperparameters. At the end of the module, you'll apply these concepts to a final project.
8 horas para concluir
9 vídeos (Total 49 mín.), 5 leituras, 3 testes
5 horas para concluir
Advanced Topics and Next Steps
5 horas para concluir
5 vídeos (Total 26 mín.), 7 leituras, 2 testes
Avaliações
Principais avaliações do PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB
por SS13 de Set de 2020
Extremely helpful and interesting course. The basic concepts and further learnings are well addressed by the instructors.\n\nHighly recommended course for Machine Learning.
por AM6 de Nov de 2020
Outstanding course with real practical study case and easy to understand approach to build ML models and deploy it for production for end-user. Good job MathWorks.
por AH10 de Set de 2020
Very practical, but still high-level view to manage such projects. Testing was sufficient to test a full understanding. Thanks, I learnt a lot.
por YY12 de Abr de 2021
Very interesting course and it is very practical! It is a great course to learn how to use machine learning as a tool to solve problems!
Sobre Programa de cursos integrados Practical Data Science with MATLAB
Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid becoming a full-time software developer or statistician to do meaningful tasks with your data?
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