The IoT Sensor Framework provides a platform to collect data from IoT-based sensors such as knitted smart textiles for HIPAA-compliant processing and research, developed with the Drexel Wireless Systems Lab at Drexel University in Philadelphia, Pennsylvania.
The IoT Processing Framework integrates with the IoT Sensor Framework to provide real-time or offline signal processing and machine learning on data collected by the sensor framework.
This is a gentle and visual introduction to the mathematics underlying neural networks and perceptron-based learning.
This is an example-rich introduction to the intuition behind and application of the Kalman Filter to reduce measurement and process error from estimated values.
This MIT Missing Semester course teaches fundamental skills about computer literacy for the technologist. Topics include the shell, editors, shell scripting, debugging, and version control.
This Caltech course provides a theoretical foundation for data-driven machine learning models and techniques.