# title
Implement classical machine learning with Arm CMSIS-DSP libraries

# topic.label
Implement classical machine learning with Arm CMSIS-DSP libraries

# topic.topics[].label
Train an SVM classifier with scikit-learn

# topic.topics[].label
Train your Bayesian estimator with scikit-learn

# topic.topics[].label
Implement your Bayesian estimator with CMSIS-DSP

# metadata.contentDescription
This guide explains how to train the SVM and Bayes classifiers in Python, how to dump the parameters, and how to use the dumped parameters in CMSIS-DSP. It also explains how the distance functions can be used for building clustering algorithms.