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...

PRESS Qeexo named in insideBIGDATA IMPACT 50 List for Q2 2020

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine...

PRESS Qeexo is making machine learning accessible to all

Every now and then I see technology that’s so impressive, I can’t wait to write about it, even if no one else finds it cool. I had that experience last week while watching a demonstration of a machine learning platform built by Qeexo.