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Machine Learning con MATLAB

Aplique distintos tipos de modelos de machine learning para realizar agrupaciones, clasificaciones y regresiones en MATLAB®. Descubra cómo las distintas técnicas pueden optimizar el rendimiento del modelo.

Módulos del curso

Getting Started

Get an overview of the course. Import and process data, explore data features, and train and evaluate a classification model.

Lecciones:
  • Course Overview
  • Review - Machine Learning Onramp

Finding Natural Patterns in Data

Use unsupervised learning techniques to group observations based on a set of explanatory variables and discover natural patterns in a data set.

Lecciones:
  • Course Example - Grouping Basketball Players
  • Low Dimensional Visualization
  • k-Means Clustering
  • Gaussian Mixture Models
  • Interpreting the Clusters
  • Hierarchical Clustering
  • Project - Clustering

Classification Methods

Use available classification methods to train data classification models. Make predictions and evaluate the accuracy of a predictive model.

Lecciones:
  • Course Example - Classifying Fault Types
  • Nearest Neighbor Classification
  • Classification Trees
  • Naive Bayes Classification
  • Discriminant Analysis
  • Support Vector Machines
  • Classification with Neural Networks
  • Project - Classification Methods

Improving Predictive Models

Validate model performance. Optimize model properties. Reduce the dimensionality of a data set and simplify machine learning models.

Lecciones:
  • Methods for Improving Predictive Models
  • Cross Validation
  • Reducing Predictors - Feature Transformation
  • Reducing Predictors - Feature Selection
  • Hyperparameter Optimization
  • Ensemble Learning
  • Project - Improving Predictive Models

Regression Methods

Use supervised learning techniques to perform predictive modeling for continuous response variables.

Lecciones:
  • Course Example - Fuel Economy
  • Linear Models
  • Stepwise Fitting
  • Regularized Linear Models
  • SVMs, Trees and Neural Networks
  • Gaussian Process Regression
  • Project - Regression

Conclusion

Learn next steps and give feedback on the course.

Lecciones:
  • Additional Resources
  • Survey

Formato:A su ritmo

Idioma:Español

Idioma

  • Ejercicios prácticos con comentarios automáticos
  • Acceda a MATLAB a través de su navegador web
  • Informe de progreso y certificado del curso disponibles para compartir

Deep Learning con MATLAB

Aprenda la teoría y la práctica de la construcción de redes neuronales profundas con datos de imágenes y secuencias del mundo real.

Machine Learning Onramp

Aprenda los conceptos básicos de métodos prácticos de machine learning para problemas de clasificación.