Next Level Machine Learning with TinyML and Python

Explore the cutting-edge world of Tiny Machine Learning (TinyML) and its applications in embedded systems on microcontrollers in this insightful conference talk. Discover how the future of computing is not only about large clusters but also about small, smart devices capable of running well-trained machine learning models. Learn about the role of Python in the Internet of Things (IoT) and its limitations in certain scenarios. Dive into TinyML and evaluate different setups for interacting with sensors on microcontrollers, discussing various hardware options and frameworks. Explore real-world use cases for TinyML in agriculture, conservation, health issue detection, ecology monitoring, and autonomous vehicles. Gain knowledge about MicroPython and CircuitPython and their impact on the microcontroller scene. Examine a practical example of a predictive machine learning model for anomaly detection in predictive maintenance problems. Understand how TinyML is shaping the next generation of AI and its potential to revolutionize various industries.