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Understanding the Internet of Things and the Key Role, Radar Is Expected To Play

After the Internet of Pages and the Internet of Services, now the Internet of Things is emerging. This article looks at the central role that radar is expected to find in many IoT applications.

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Tutorial - What is Machine Learning (ML) ?

This article will give an overview of the basic and fundamental notions of ML. It is part of a series developed for practitioners. The goal is to be rapidly able to apply and make use of ML.

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2 Years Course - Artificial Intelligence and Machine Learning

This document describes SkyRadar's 2 years course in A.I, including elements of data science and connected sciences for undergraduate courses (Bachelor Programs).

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NextGen Artificial Intelligence Vol. I including AI Solutions for Image Recognition and Classification

Artificial Intelligence is disruptively changing the world of Aviation and IoT. Radar sensor data play a key role as they are in contrast to photographic images quantitative and measurable. SkyRadar developed a course providing hands-on experiments for Artificial Intelligence. 

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Tutorial - Using the NextGen 8 GHz Pulse Module for Artificial Intelligence to Understand Finger-Counting-Based Gestures

In the following we introduce a SkyRadar NextGen 8 GHz Pulse application for artificial intelligence. In this application students learn how neural networks / artificial intelligence, and especially Convolution Neural networks can be applied to perform the automatic detection of a human gesture by using RADAR technologies.

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Tutorial: Overview of Results in the Domain of Classifications of RADAR Objects Using Hidden Markov Models, Neural Networks and Other M.L. Techniques

In this article, we shall detail the main results and implementation regarding the processing and classification of RADAR objects using Machine Learning (M.L) techniques such as Hidden Markov Models, Neural Networks or others.

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Tutorial: Support Vector Machines for Automatic RADAR Recognition - A Theoretical Foundation

In the present tutorial, we shall explain what are the Support Vector Machines (SVMs) and how the kernel-based SVM classifiers are working.

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Tutorial: Understanding Machine Learning and Deep Learning

In what follows we will present examples of Deep Learning networks and detail their various designs. It is a detailed tutorial, written for students and engineers who want to acquire a profound understanding of the subject.

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The Powers and Limits of Bayesian Classifiers (Tutorial)

In this tutorial, we will have a detailed look at one of the most powerful classes of machine learning and Artificial Intelligence algorithms that exists: the Bayesian Classifiers.

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