Machine learning techniques are often used for analysis and decision-making tasks such as forecasting, pattern recognition, and data mining. However, implementing and comparing machine learning techniques to choose the best approach can be challenging.
In this free seminar, you will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best technique to your problem.
Highlights include unsupervised and supervised learning techniques such as:
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naïve Bayes Classification
• Linear, logistic and nonlinear regression