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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 \

Session 14: Introduction to Supervised Machine Learning in Open RAN

⏲ 4:28 👁 35K

blackdragons95

Ran Ran Ru - Real English Dub

⏲ 16 seconds 👁 6.4K

ZiGY-10

What is Ran Ran Ru? (Subtitled)

⏲ 27 seconds 👁 203.3K

Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \

Session 17: Deployment of Machine Learning Models in Open RAN Networks

⏲ 4:9 👁 25K

cldgonz

ran ran ru .wmv

⏲ 9 seconds 👁 10.2K

keyv

Ran Ran Ru but it's in Roblox

⏲ 19 seconds 👁 6.1K

《前妻的诱惑》Marrying the man she loved but she was used as a human shield. The woman was disheartened and divorced. Then she ran into a billionaire CEO. She thought he was interested in her identity, but she didn't expect that he was an innocent man who had been secretly in love with her for ten years. She was a scumbag. Her ex-husband regretted seeing her radiantly.#短剧 #爆款 #新剧

Ex-Wife's Seduction 前妻的诱惑

⏲ 1:58:33 👁 50K

Senna The Sweet Dreaming Vyonder

Ronald McDonald Does Ran Ran Ru!

⏲ 16 seconds 👁 889

that one dude that makes fnf lyrics

⏲ 10 seconds 👁 474

Major questions over Wembley Stadium's security will be asked once again following a turbulent Champions League final that saw pitch invasions and 53 arrests.<br/><br/>Real Madrid claimed a record-extending 15th Champions League last night thanks to goals from Dani Carvajal and Vinicius Jr as they defeated Borussia Dortmund 2-0 in European club football's annual flagship match, this year hosted in London. <br/><br/>But the event was soured for some before kick-off when fans were seen charging towards the iconic stadium and attempting to enter via the 'Club Wembley' entrance, before being pushed back and turned away by security.<br/><br/>A series of pitch invaders then ran across the turf unchallenged in the early minutes of the match, forcing a halt in play. One of the people who ran onto the pitch stopped to take a selfie with Real Madrid star Vinicius Junior in what appeared to be an online dare with a cash reward up for grabs.<br/><br/>Then, following the full-time whistle, exclusive footage obtained by MailOnline appeared to show fans streaming through a stadium side door as the trophy ceremony was underway.<br/><br/>These lapses came despite a £ 5 million ring of steel defense being put in place by the Football Association to avoid a repeat of England's Euro 2020 day of shame.<br/><br/>That final - held in 2021 having been delayed due to the COVID-19 pandemic - saw ticketless fans storming the gates to gain access to the stadium.<br/><br/>Footage from outside Wembley tonight showed a group of men - many of whose faces were hidden under hoods - attempting to rush the stadium entrances, in scenes reminiscent of the 2021 events, albeit not on the same scale.<br/><br/>Some could be seen getting inside the Club Wembley entrance as they broke past security but were quickly turned around.<br/><br/>As well as this, the video outside the stadium shows what appears to be men fighting on the ground.<br/><br/>To combat this, police mounted on horses rushed in as reinforcements with riot police also seen marching down the street to regain control.<br/><br/>There were chaotic scenes inside the stadium, too, when shortly after kick-off, Wembley Stadium security staff had to jump into action to remove two pitch invaders.<br/><br/>Another person then ran onto the field to the visible annoyance of some players. <br/><br/>It took four security staff to apprehend the last invader, marking a shaky start to the night. Police later said five pitch invaders had been arrested.<br/><br/>It has since been revealed that a controversial Russian streamer promised the pitch invaders who stormed the Wembley turf £300,000.<br/><br/>The troublemakers wore t-shirts promoting 'Mellstroy', a scandalous vlogger who offered the prize reward to anyone who would invade the pitch in his name. <br/><br/>In 2020, the Moscow-based streamer Andrey Burim beat up a model and smashed her head onto a table during a YouTube livestream. <br/><br/>Burim also grabbed the model, Alena Efremova, by the neck during a social media party live-streamed to his then-680,000 YouTube subscribers. <br/><br/>The attack left a traumatized Efremova

Wembley Stadium's Security will be asked Once again Following a Turbulent Champions League Final

⏲ 1:15 👁 20K

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What is Ran Ran Ru Subtitled 3840x2160!

⏲ 6 seconds 👁 212

Tiny VR

💪 RanRanRu VR 💪

⏲ 1 minute 55 seconds 👁 268.7K

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