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Session 17: Deployment of Machine Learning Models in Open RAN Networks
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Look What You Made Me Do Full
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A tangled affair - Red Media
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How to Make 3 Pasta Salads
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Things You Might Not Have Known About Gravel Bikes
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Lovely Dark and Deep (2023) English Movie
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Why it matters to capture life's struggles?
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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 \")
_look-what-you-made-me-do-full.jpg "Look What You Made Me Do Full")
_a-tangled-affair-red-media.jpg "A tangled affair")
_how-to-make-3-pasta-salads.jpg "Summer is here and that means pasta salad season has officially arrived. In this video, Nicole shares 3 of the best pasta salad recipes that have gone viral on social media! Learn how to make Italian Pasta Salad, Dill Pickle Pasta Salad, and Street Corn Pasta Salad by watching this video.")
_things-you-might-not-have-known-about-gravel-bikes.jpg "Cycling Weekly takes a look at Gravel bikes. <br/>As the discipline as boomed, it seems as though the tech hasn't been able to keep up with the level of popularity and it's left the bikes feeling a bit confused. We've rounded up all of those flaws and told you everything that we hate about gravel bikes. They are by no means perfect and there's a few things you should know before buying a gravel bike.")
_92.jpg "The NBA Finals are finally here, and the Celtics are set to take on the Mavericks starting June 6th. Bobby Manning from CLNS Media teamed up with Noa Dalzell from Celtics Blog to chat about what to expect in the series. They talked about Kristaps Porzingis possibly coming back and what that means for the Celtics. They also dove into the big challenge of trying to guard Luka Doncic and the different strategies the team might use. <br/><br/>0:00 - Intro<br/>1:10 - Key role players' impact on Celtics vs. Mavs matchup<br/>2:50 - Defensive strategies against Luka and Kyrie<br/>4:38 - Celtics' defensive options and matchups for the series<br/>5:52 - Balancing offensive strategy against Dallas's defense<br/>7:29 - Importance of Porzingis' availability for the series<br/>9:18 - Impact of Porzingis on Celtics' lineup and strategy<br/>11:00 - Expectations for a competitive series with full player rotations<br/>12:40 - Storylines: Porzingis vs. Dallas, Kyrie vs. Celtics<br/>17:10 - Handling the intensity of the finals<br/>18:50 - Tatum vs. Luka: Not a one-on-one showdown<br/>20:08 - Tatum needing to match Luka's level<br/><br/>Prize Picks! Get in on the excitement with PrizePicks, America’s No. 1 Fantasy Sports App, where you can turn your hoops knowledge into serious cash. Download the app today and use code CLNS for a first deposit match up to $100! Pick more. Pick less. It’s that Easy! Go to https://PrizePicks.com/CLNS<br/><br/>Gametime! Take the guesswork out of buying NBA tickets with Gametime. Download the Gametime app, create an account, and use code CLNS for $20 off your first purchase. Download Gametime today. Last minute tickets. Lowest Price. Guaranteed. Terms apply. Go to https://gametime.co !")
_lovely-dark-and-deep-2023-english-movie.jpg "Lovely Dark and Deep (2023) English Movie")
_why-it-matters-to-capture-life39s-struggles.jpg "By photographing his humble surroundings, Samuel achieved that his sight on the world is exhibited internationally. His work shows that you can realize your dreams even with limited means.")
_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 \")
_look-what-you-made-me-do-full.webp "Look What You Made Me Do Full")
_a-tangled-affair-red-media.webp "A tangled affair")
_how-to-make-3-pasta-salads.webp "Summer is here and that means pasta salad season has officially arrived. In this video, Nicole shares 3 of the best pasta salad recipes that have gone viral on social media! Learn how to make Italian Pasta Salad, Dill Pickle Pasta Salad, and Street Corn Pasta Salad by watching this video.")
_things-you-might-not-have-known-about-gravel-bikes.webp "Cycling Weekly takes a look at Gravel bikes. <br/>As the discipline as boomed, it seems as though the tech hasn't been able to keep up with the level of popularity and it's left the bikes feeling a bit confused. We've rounded up all of those flaws and told you everything that we hate about gravel bikes. They are by no means perfect and there's a few things you should know before buying a gravel bike.")
_92.webp "The NBA Finals are finally here, and the Celtics are set to take on the Mavericks starting June 6th. Bobby Manning from CLNS Media teamed up with Noa Dalzell from Celtics Blog to chat about what to expect in the series. They talked about Kristaps Porzingis possibly coming back and what that means for the Celtics. They also dove into the big challenge of trying to guard Luka Doncic and the different strategies the team might use. <br/><br/>0:00 - Intro<br/>1:10 - Key role players' impact on Celtics vs. Mavs matchup<br/>2:50 - Defensive strategies against Luka and Kyrie<br/>4:38 - Celtics' defensive options and matchups for the series<br/>5:52 - Balancing offensive strategy against Dallas's defense<br/>7:29 - Importance of Porzingis' availability for the series<br/>9:18 - Impact of Porzingis on Celtics' lineup and strategy<br/>11:00 - Expectations for a competitive series with full player rotations<br/>12:40 - Storylines: Porzingis vs. Dallas, Kyrie vs. Celtics<br/>17:10 - Handling the intensity of the finals<br/>18:50 - Tatum vs. Luka: Not a one-on-one showdown<br/>20:08 - Tatum needing to match Luka's level<br/><br/>Prize Picks! Get in on the excitement with PrizePicks, America’s No. 1 Fantasy Sports App, where you can turn your hoops knowledge into serious cash. Download the app today and use code CLNS for a first deposit match up to $100! Pick more. Pick less. It’s that Easy! Go to https://PrizePicks.com/CLNS<br/><br/>Gametime! Take the guesswork out of buying NBA tickets with Gametime. Download the Gametime app, create an account, and use code CLNS for $20 off your first purchase. Download Gametime today. Last minute tickets. Lowest Price. Guaranteed. Terms apply. Go to https://gametime.co !")
_lovely-dark-and-deep-2023-english-movie.webp "Lovely Dark and Deep (2023) English Movie")
_why-it-matters-to-capture-life39s-struggles.webp "By photographing his humble surroundings, Samuel achieved that his sight on the world is exhibited internationally. His work shows that you can realize your dreams even with limited means.")
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