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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 👁 75K

I’ve been a huge fan of Hallmark’s schedule of programming ever since my mother was fighting cancer. Along with the hospital trips, we spent a winter watching Christmas movies in between chemo sessions. So, I’ve seen a lot of the network’s amazing programming and some of its lower budget duds. To me, the network’s most exciting programming over the last year has not been its Christmas movies or even its best rom-coms, and instead has been a TV series called \

The Story Behind Why Hallmark’s 'The Way Home' Is So Different From The Network’s Other TV Programming

⏲ 1:17 👁 440K

We have spent 20 years, gathering, trial and erroring, testing, using, seeing... What supplements are actually beneficial to our health, and which are damaging.We have gone around to our favorite formulas, from many different companies, to put all of our

How Why was Synergy Wellness Formulas conceived?!

⏲ 2 min 56 sec ✓ 27-Sep-2022

The new BMW 330e Touring Design Preview

⏲ 2:26 👁 370K

Top 10 apartments in 2024

⏲ 0:20 👁 185K

Testing & How We Take Care Of Ourselves!30 blood measurements each year, tells us virtually nothing!nnOriginal Formulas vitamins and supplements are always derived from whole foods, chelated (organic) minerals, pure plant enzymes—not synthetic chemicals. And, we are the only formulator with the cellular delivery system which ensures actual digestion and assimilation of foods and nutrients.nnWe have spent 20 years, gathering, trial and erroring, testing, using, seeing... What supplement

Testing & How We Take Care Of Ourselves!30 blood measurements each year, tells us virtually nothing!

⏲ 5 min 24 sec ✓ 22-Feb-2023

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 👁 40K

South of Midnight: How the First Gameplay Trailer Hints at the Magic to Come. Compulsion likes to do things differently, and South of Midnight is a shining example of just how far they’ll take that philosophy. This hauntingly gorgeous Deep South folktale is an action-adventure, with a unique identity that only this studio could have woven together.<br/><br/>In the first-ever gameplay trailer, revealed today at the Xbox Games Showcase, we got a glimpse of just why that is. The footage – taken from around a third of the way through the story – reintroduces us to our heroine Hazel (who we met in last year’s introductory trailer), now accompanied by a character who’ll follow her throughout the game, the loquacious Catfish. Following a Category 5 hurricane, Hazel has lost her mother, but gained once-dormant powers of Weaving, a magical ability that allows her to rework the tapestry of energy that makes up the universe. That doesn’t come too soon – reality itself has begun to fray, leading her deeper and deeper into a magical realist world, where folktale creatures have sprung to life, and corruption is overtaking the ruins left in the hurricane’s path.<br/><br/>As the trailer begins, Hazel and Catfish are on her mother’s trail – but spot one of the game’s mythical creatures, nightmarish bosses borne out of real-life folktales from the American South. In this case, we meet Two-Toed Tom – a blind, albino alligator the size of an island, offered new hunting grounds by widespread flooding. Catfish tells Hazel to travel to a dilapidated church and ring its bell to lure Tom so that they can escape, and we see her using a variety of Weaving powers to bypass obstacles – until she meets a Haint.<br/><br/>Haints are the game’s most common enemies, and come in many forms – what we see here is a Brute archetype, a mass of twisted negative energy given form by the trauma of the world around it. In practice, we see a combat sequence, Hazel using her Weaving powers to attack the threat with both Weaving tools and magic – but in storytelling terms, she’s weakening the dark psychic energy left behind here, until she’s literally given the option to ‘Unravel’ it with a finishing move. And here’s the key – as the Haint is yanked back out of reality, we see flowers bloom around Hazel. She hasn’t killed something – she’s fixed what was broken. That’s a clear message – South of Midnight, like Hazel herself, is doing things differently.<br/><br/>JOIN THE XBOXVIEWTV COMMUNITY<br/>Twitter ► https://twitter.com/xboxviewtv<br/>Facebook ► https://facebook.com/xboxviewtv<br/>YouTube ► http://www.youtube.com/xboxviewtv<br/>Dailymotion ► https://dailymotion.com/xboxviewtv<br/>Twitch ► https://twitch.tv/xboxviewtv<br/>Website ► https://xboxviewtv.com<br/><br/>Note: The #SouthofMidnight #Trailer is courtesy of Compulsion Games and Xbox Game Studios. All Rights Reserved. The https://amzo.in are with a purchase nothing changes for you, but you support our work. #XboxViewTV publishes game news and about Xbox and PC games and hardware.

South of Midnight Official Gameplay Reveal | Xbox Games Showcase 2024

⏲ 4:12 👁 40K

Your body is incredible and healing itself, if you give it the right tools/nutrients. nnhttps://linktr.ee/drtimharrigan nnI have learned many things from seeing thousands of patients and what they are taking, doing and the results of such things.So we have our favorite, most powerful/effective, safe, whole food based, impact/results driven formulas now that everyone can benefit from.Learn from our 20 years of experiences!99% of the supplements/nutrition in the world I would not feed to my

Thomas Edison Quote.30 Thousand Billion Billion?The body is always regenerating itself!

⏲ 2 min 81 sec ✓ 09-Nov-2022

0:00 - If got 2 doors, 1 door lead you to normal life but no fans and haters but have a security job and the other door lead you to fame but many haters, wash toilet and do cleaner job and lastly might end up in jail<br/>8:54 - If my ex girlfriend broke up with me because I want to have sex after marriage, is that reasonable ? <br/>10:57 - Do you preferred to be bullied or become the bully?<br/>12:18 - Will you let Kairi or Lesnar learn martial arts black belt when they are teenagers so they can have self-defense?<br/>13:59 - Have you learned any martial arts when you were younger, for example, during your secondary school time? <br/>15:53 - You say 1K not a lot of money to have in the bank. Can I ask how much you think is high or good monthly salary. 1 month earn $4k is it good or normal to you ? What about $6k ?<br/>17:35 - Can explain what does Kurty Impact means ?<br/>19:16 - If you and Wen Loong were the last people on earth, would you let him laji with him and let him poke his penis in your ass? Or will you want to poke his ass ? What is the most disgusting thing that you have ever did, can share with fans ? What about the most fun thing you did in your life ?<br/>21:47 - Can explain how you managed your questions ? I noticed you answer a lot of questions during Q&A, how do you keep track of so many questions. Do you have a paper then write down?<br/>23:11 - It's been so long since you meet Eddie High, will you forgive him for what he did to you, if you meet him, do you forgive him?

Kurt Tay Q&A (24 May 2024) (Part 3)

⏲ 25:6 👁 40K

World premiere of the new Volkswagen Golf GTI Clubsport

⏲ 1:13 👁 360K

Most people severely underestimate what they could accomplish in a year when you get disciplined and a written plan...nnMotivation is like bathing...It wears off quickly, so we must do it often.Discipline and consistency is the key to any successful areas of our lives, especially our health habits.Without our health, we have nothing.The healthy person wants thousands of things and has unlimited wants/wishes.Guess what a really sick person wants... They only want one thing, and the is

Imagine what you could accomplish in a Year, if you Focused...

⏲ 28 sec ✓ 22-May-2023

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