Embedded machine learning refers to the integration of machine learning algorithms and models into embedded systems or devices with limited computational resources. These systems are typically characterized by constraints such as low power consumption, limited memory, and processing capabilities. Embedded machine learning enables these devices to perform intelligent tasks locally, without relying on external servers or cloud-based services for inference. Visit for More Details... https://bit.ly/3NI3dCT