The Machine Learning With MatLab training course will build a foundation for machine learning using MATLAB. It will also help Delegates learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB. One will understand the basic concepts of machine learning and perform data fitting, pattern recognition, and clustering analysis, among other tasks. Finally, Delegates will explore feature selection and extraction techniques for dimensionality reduction for improving the performance of your models.
By attending Machine Learning With MATLAB workshop, delegates will:
- Learn the introductory concepts of machine learning*] Learn the introductory concepts of machine learning
- Explore the different types of regression technique such as simple and multiple linear regression, ordinary least squares estimation, correlations, and how to apply them to your data
- Discover the basics of classification methods and how to implement the Naive Bayes algorithm and Decision Trees in the MATLAB environment
- Perform data fitting, pattern recognition, and clustering analysis with the help of the MATLAB neural network toolbox
This course is for data analysts, data scientists, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this course well.