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West mids pension fund advice session at West Bromwich library.

West mids pension fund advice session.

⏲ 0:27 👁 12.7M

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New HammondSK series Library Voice \"Jazz guitar\"

⏲ 1 minute 2 seconds 👁 1.8K

WC Coaching

देखिए Library में बच्चे कैसे पढ़ते है S.K Success Library (Palwal) By - Indra The Arya

⏲ 18 minutes 2 seconds 👁 22.5K

You can't call yourself an anime fan without these in your music library! Join Ashley as we look at the chart toppers to come out of the anime scene across the years

Top 30 Most Popular Anime Songs of All Time

⏲ 31:2 👁 21M

freeCodeCamp.org

Scikit-learn Crash Course - Machine Learning Library for Python

⏲ 2 hours 9 minutes 22 seconds 👁 172.2K

Southeast Regional Library

Vibank Library’s SK Library Week Program

⏲ 40 seconds 👁 49

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

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HOW TO DOWNLOAD AND INSTALL A LIBRARY VOICE ON YOUR HAMMOND Sk KEYBOARD

⏲ 2 minutes 35 seconds 👁 1.2K

SSN Survey

தேர்தல் முடிவுகள் -- திருவள்ளூர் முதல் ஆரணி வரை ஓர் அலசல் -- SSN SURVEY

⏲ 17 minutes 27 seconds 👁 148

Sydney Sweeney shares a look at her personal library! Get a peek at some of her favorite books, including the one she's adapting into a TV series with Halsey.

Sydney Sweeney | Shelf Portrait | Marie Claire

⏲ 3:17 👁 310K

Cozy Timez

Thunderstorm with Lightning, Rain, Crackling Fireplace & Sleeping Cats in a Cozy Cabin

⏲ 3 hours 1 second 👁 2.2M

New Bliss

Old Book Shop Ambience - Rain & Thunder Sounds | Warm Fireplace | Sleep, Study, Meditation

⏲ 3 hours 7 minutes 👁 548.7K

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