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To take revenge girl becomes a maid and enters the house of scheming girl to know the male owner

To take revenge, girl becomes a maid and enters the house of scheming girl to know the male owner

⏲ 17:48 👁 1.4M

Drama Smash

Carryminati VS Anant Ambani!

⏲ 38 seconds 👁 4.6M

zorba mobile

Glass vs plastics | Nokia Vs all ( just fun video) #stopvivekbindra

⏲ 34 seconds 👁 3.1M

Miley Cyrus has admitted that she\

Miley Cyrus 'didn't have time for friends' as a child star: 'Disney did very well out of me...'

⏲ 1:17 👁 125K

Brut India

Here's what happened after Chinese President Xi Jinping's aide arrived late for the BRICS meeting…

⏲ 34 seconds 👁 3.3M

The Celebrity Clips

Celine Dion makes fun of Ariana Grande 's impression of her #shorts #celinedion #arianagrande

⏲ 53 seconds 👁 2.7M

Elon Musk's AI startup xAI has raised $6 billion in a Series B funding round valuing the company at $24 billion. Major investors in the round include Fidelity, Sequoia Capital, Andreessen Horowitz, Prince Alwaleed Bin Talal, and Kingdom Holding. The company's first major product is an AI assistant called Grok that is available to premium users of Elon Musk's social media platform X. Grok competes with AI models like GPT-4, Claude, and Llama and aims to provide an advanced language model. xAI is central to Elon Musk's turnaround plans for X after facing challenges since acquiring Twitter.

Elon Musk's xAI Secures $6 Billion in Funding From Major Investors Fidelity, Sequoia Capital, and Andreessen Horowitz

⏲ 0:41 👁 240K

USA TODAY

Former Chinese President Hu Jintao removed from Communist Party congress | USA TODAY #Shorts

⏲ 47 seconds 👁 10.8M

Zone MK

Old Nokia Phone Still Works #shorts

⏲ 7 seconds 👁 1.4K

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

Dk Mobile Solution

Nokia keypad phone Model number check #dkmobilesolution #shorts

⏲ 8 seconds 👁 1.1K

Daily Shorts

Nokia vs Samsung vs iPhone Hydraulic Press meme #Shorts

⏲ 25 seconds 👁 23.6M

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