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_session-14-introduction-to-supervised-machine-learning-in-open-ran.webp "Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \")
_binary-boy-usenet-newsreader.webp "binaryboy")
_good-usenet-client-for-binaries-on-ubuntu-like-xnews-3-solutions.webp "Roel Van de Paar")
_otd-in-space-may-26-europe-launches-exosat-x-ray-telescope.webp "On May 26, 1983, the European Space Agency launched its first X-ray Observatory into space. <br/><br/>The spacecraft was called EXOSAT, which stands for European X-ray Observatory SATellite. The mission was entirely devoted to studying the universe by looking exclusively at X-ray radiation. Human eyes aren't capable of seeing light in X-ray wavelengths. By looking for X-rays using satellites and telescopes, astronomers can locate and study high-energy sources of radiation. This includes supernovas, active galactic nuclei, galaxy clusters, black holes, neutron stars, white dwarfs, and binary stars. EXOSAT launched on a Thor-Delta rocket from Vandenberg Air Force Base in California. It was put in a highly eccentric elliptical orbit that took it around the Earth once every 90 hours. It made several big discoveries during its three years in orbit. Its most famous discovery was something called quasi-periodic oscillation in X-ray binary stars. In other words, the X-ray light coming from those stars flickers periodically with very high precision like a ticking clock. The EXOSAT mission ended when the satellite deorbited and burned up in the atmosphere, but scientists are still analyzing the data and learning new things from it.")
_nzbget-better-than-bittorent-full-setup.webp "Techno Dad Life")
_nzbget-usenet-binary-downloader-linux-webui.webp "gotbletu")
_watch-how-nasas-lucy-spacecraft-flew-by-asteroid-dinkinesh.webp "NASA’s Lucy spacecraft flew by asteroid Dinkinesh and made a surprising discovery, a close binary! Preliminary statistics show that Dinkinesh is~0.5 miles (790 m) wide and the binary asteroid is 0.15 miles (220 m) in size. <br/><br/>The spacecraft closest approach to the asteroid was about 270 miles (430 km) away and it was flying at 10,000 mph (4.5 km/s).<br/><br/>Credit: Space.com | footage courtesy: NASA/Goddard/SwRI/Johns Hopkins APL/NOAO/ASU | edited by Steve Spaleta<br/>Music: Alien Invasion by JH Coleman / courtesy of Epidemics Sound")
_which-newsgroup-provider-to-use.webp "Hip-IO Reviews")
_torrents-vs-usenet-a-comparison-between-the-two.webp "quidsup")
_watch-how-nasas-lucy-spacecraft-flew-by-asteroid-dinkinesh.webp "NASA’s Lucy spacecraft flew by asteroid Dinkinesh and made a surprising discovery, a close binary! Preliminary statistics show that Dinkinesh is~0.5 miles (790 m) wide and the binary asteroid is 0.15 miles (220 m) in size. <br/><br/>The spacecraft closest approach to the asteroid was about 270 miles (430 km) away and it was flying at 10,000 mph (4.5 km/s).<br/><br/>Credit: Space.com | footage courtesy: NASA/Goddard/SwRI/Johns Hopkins APL/NOAO/ASU | edited by Steve Spaleta<br/>Music: Alien Invasion by JH Coleman / courtesy of Epidemics Sound")
_how-to-use-usenet.webp "JacktasticTech")
_choosing-a-usenet-provider.webp "Lifehacker")
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