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.
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MathWorks
Accelerating the pace of discovery, innovation, development, and learning in engineering and science.
강의 계획 - 이 강좌에서 배울 내용
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.
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.
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.
Advanced Topics and Next Steps
검토
PREDICTIVE MODELING AND MACHINE LEARNING WITH MATLAB의 최상위 리뷰
Extremely helpful and interesting course. The basic concepts and further learnings are well addressed by the instructors.\n\nHighly recommended course for Machine Learning.
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.
Very practical, but still high-level view to manage such projects. Testing was sufficient to test a full understanding. Thanks, I learnt a lot.
Learner friendly explanations and examples! The animations complement the great content!
Practical Data Science with MATLAB 특화 과정 정보
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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