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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.jpg "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 \")
⏲ 4:9 👁 75K
_the-rock-john-cena-the-undertaker-and-more-showed-up-in-the-craziest-wrestlemania-main-event-of-all-time.jpg "As soon as WWE announced the night two WrestleMania 40 main event could be Bloodline Rules, fans started fantasy casting who could potentially show up. It turns out the answer was a lot of people. The chaotic, overbooked, and way too much fun main event featured a shocking number of current and former stars who interfered to help one side of the other. They included but were not limited to The Rock, The Undertaker, John Cena, and Seth Rollins, who all combined to give fans one of the craziest and best WrestleMania main events of all time.")
⏲ 1:6 👁 1.4M
_rock-news-0392-0692-2023.jpg "Rock News 03\ 06\ 2023 from spr rock n learn")
⏲ 55:35 👁 65K
_abc-phonics-song-124-abc-song-124-toddlers-learning-videos-abcsong.jpg "Welcome to Kids Basic Education!<br/><br/>Our channel is dedicated to making education exciting and accessible for young minds. <br/><br/>We offer a wide range of educational videos designed to help kids learn and grow.<br/>Subscribe and hit the bell icon to never miss an update.<br/><br/> Subscribe Now and Let's Learn Together!")
⏲ 1:52 👁 240K
_online-exclusives-buena-manong-selebrasyon-ng-pride-month-at-pa-92.jpg "24 Oras Weekend is GMA Network’s flagship newscast, anchored by Ivan Mayrina and Pia Arcangel. It airs on GMA-7, Saturdays and Sundays at 5:30 PM (PHL Time). For more videos from 24 Oras Weekend, visit http://www.gmanews.tv/24orasweekend.<br/><br/>#GMAIntegratedNews #KapusoStream<br/><br/>Breaking news and stories from the Philippines and abroad:<br/>GMA Integrated News Portal: http://www.gmanews.tv<br/>Facebook: http://www.facebook.com/gmanews<br/>TikTok: https://www.tiktok.com/@gmanews<br/>Twitter: http://www.twitter.com/gmanews<br/>Instagram: http://www.instagram.com/gmanews<br/><br/>GMA Network Kapuso programs on GMA Pinoy TV: https://gmapinoytv.com/subscribe")
⏲ 0:53 👁 60K
_rock-news-2992-0592-2024.jpg "Rock News 29\ 05\ 2024 from spr rock n learn")
⏲ 52:27 👁 50K
_ninja-samurai-fighter-asian-epic-rock-124-ai-genrated.jpg "Ninja Samurai Fighter Asian Epic Rock")
⏲ 1:0 👁 50K
_31-minutes-of-ceedee-lamb-highlights.jpg "Watch and Enjoy 31 Minutes of CeeDee Lamb Highlights")
⏲ 31:31 👁 230K
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg "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 \")
⏲ 4:28 👁 40K
_dj-legends-sigma-and-freemasons-to-rock-epic-ministryof-sound-classical-live-at-warwick-castle.jpg "Legendary DJ duos Sigma and Freemasons have been announced as special guests to perform at this summer’s epic Ministry Of Sound Classical concert at Warwick Castle!<br/>This night, like no other, a celebration of classic dance music, will also feature the 50-piece London Concert Orchestra, on Saturday, July 20, from 5.30pm.<br/>BUY TICKETS: General admission tickets are £52.50 and VIP tickets are £105, all prices plus booking fees - visit https://premier.ticketek.co.uk/shows/show.aspx?sh=MINISTRY24<br/>")
⏲ 0:16 👁 580K
_rock-news-0492-0692-2024.jpg "Rock News 04\ 06\ 2024 from spr rock n learn")
⏲ 54:40 👁 40K
_diana-and-roma-learn-and-play-from-1-to-10-game.jpg "Diana and Roma can teach you how to count from 1 to 10 with a fun game.")
⏲ 9:24 👁 75K
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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "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 \")
_the-rock-john-cena-the-undertaker-and-more-showed-up-in-the-craziest-wrestlemania-main-event-of-all-time.webp "As soon as WWE announced the night two WrestleMania 40 main event could be Bloodline Rules, fans started fantasy casting who could potentially show up. It turns out the answer was a lot of people. The chaotic, overbooked, and way too much fun main event featured a shocking number of current and former stars who interfered to help one side of the other. They included but were not limited to The Rock, The Undertaker, John Cena, and Seth Rollins, who all combined to give fans one of the craziest and best WrestleMania main events of all time.")
_rock-news-0392-0692-2023.webp "Rock News 03\ 06\ 2023 from spr rock n learn")
_abc-phonics-song-124-abc-song-124-toddlers-learning-videos-abcsong.webp "Welcome to Kids Basic Education!<br/><br/>Our channel is dedicated to making education exciting and accessible for young minds. <br/><br/>We offer a wide range of educational videos designed to help kids learn and grow.<br/>Subscribe and hit the bell icon to never miss an update.<br/><br/> Subscribe Now and Let's Learn Together!")
_online-exclusives-buena-manong-selebrasyon-ng-pride-month-at-pa-92.webp "24 Oras Weekend is GMA Network’s flagship newscast, anchored by Ivan Mayrina and Pia Arcangel. It airs on GMA-7, Saturdays and Sundays at 5:30 PM (PHL Time). For more videos from 24 Oras Weekend, visit http://www.gmanews.tv/24orasweekend.<br/><br/>#GMAIntegratedNews #KapusoStream<br/><br/>Breaking news and stories from the Philippines and abroad:<br/>GMA Integrated News Portal: http://www.gmanews.tv<br/>Facebook: http://www.facebook.com/gmanews<br/>TikTok: https://www.tiktok.com/@gmanews<br/>Twitter: http://www.twitter.com/gmanews<br/>Instagram: http://www.instagram.com/gmanews<br/><br/>GMA Network Kapuso programs on GMA Pinoy TV: https://gmapinoytv.com/subscribe")
_rock-news-2992-0592-2024.webp "Rock News 29\ 05\ 2024 from spr rock n learn")
_ninja-samurai-fighter-asian-epic-rock-124-ai-genrated.webp "Ninja Samurai Fighter Asian Epic Rock")
_31-minutes-of-ceedee-lamb-highlights.webp "Watch and Enjoy 31 Minutes of CeeDee Lamb Highlights")
_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 \")
_dj-legends-sigma-and-freemasons-to-rock-epic-ministryof-sound-classical-live-at-warwick-castle.webp "Legendary DJ duos Sigma and Freemasons have been announced as special guests to perform at this summer’s epic Ministry Of Sound Classical concert at Warwick Castle!<br/>This night, like no other, a celebration of classic dance music, will also feature the 50-piece London Concert Orchestra, on Saturday, July 20, from 5.30pm.<br/>BUY TICKETS: General admission tickets are £52.50 and VIP tickets are £105, all prices plus booking fees - visit https://premier.ticketek.co.uk/shows/show.aspx?sh=MINISTRY24<br/>")
_rock-news-0492-0692-2024.webp "Rock News 04\ 06\ 2024 from spr rock n learn")
_diana-and-roma-learn-and-play-from-1-to-10-game.webp "Diana and Roma can teach you how to count from 1 to 10 with a fun game.")
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