Qeexo

BLOG ODR and FSR of Sensors

Qeexo’s AutoML enables Machine Learning and AI applications development for a range of sensors. A comprehensive list of sensors includes Accelerometer, Gyroscope, Magnetometer, Temperature, Pressure, Humidity, Microphone, Doppler Radar, Geophone,...

BLOG Detecting Air Gestures with Qeexo AutoML

We would like to build a machine learning model to distinguish between the following three classes: "X", "O", "No Gesture". This blog describes building the Air Gesture with Arduino Nano 33 BLE Sense. You can also build the same using any of the...

BLOG Feature Selection Approaches: Part – I

In machine learning, the quality of feature selection strongly affects the quality of the trained model. Feature selections approaches differ depending on the type of machine learning problem, e.g., supervised learning or unsupervised learning. For...

BLOG Deep Learning in Qeexo AutoML Platform

Deep learning (DL) has gradually become one of the most popular areas in artificial intelligence after the 1990s. Deep learning is a branch of machine learning and uses neural layers to build models. It combines low-level features and gradually...