TensorFlow Lite
models on edge devices and the use of River
for incremental and streaming machine learning. The course combined theoretical foundations with practical, hands-on exercises, addressing key topics such as real-time analytics, model drift detection, and adaptive learning strategies for IoT and edge computing scenarios.