Edge AI is often seen as a field reserved for powerful single-board computers, but what if you could run machine learning logic directly on a standard Arduino? In this article, we will explore NocML , an efficient machine learning library specifically designed for resource-constrained microcontrollers. What is NocML? NocML is a lightweight C++ library built to bridge the gap between complex ML logic and the limited processing power of microcontrollers like the ESP32, Arduino Uno, or Nano. Inspired by the Scikit-Learn API, it offers a familiar workflow for developers coming from a Python background. Key Features: Low Memory Footprint: Optimized to run within the tight SRAM limits of common microcontrollers. Data Preprocessing: Includes tools like MinMaxScaler for data normalization on-device. Versatile Algorithms: Supports Classification ( KNN, Naive Bayes ), Clustering ( K-Means ), and Regression ( Linear Regression ).…