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last updated March 29th, 2025

ML Documentation

You can review the ML repository here: ML-Telemetry

Main goals of Telemetry ML

Learn more about the car data through exploratory analysis
Learn how to optimize the distance of the car through models
Expose anomalies in the data and understand where they came from
Explain the car data through graphs, visualizations, and models.

We are exploring how to do this through tools like

Graphana
Plotly
PyTorch/Tensorflow
Scikit-learn
Pandas

The Telemetry ML team does not solely focus on Machine Learning Models however. There are several considerations that need to be made in the following areas

Deployment options
Data Caching
Infrastructure as Code
Data Pipelines
Data Integrity