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#MinecraftBuilds #Minecraft #Minecrafttutorial<br/>Does anyone read the description?<br/>If yes,let me know what else would you want me to build!

Minecraft Ultimate Underwater Survival Base⚒️

⏲ 8:10 👁 115K

Smartsheet

Welcome to Smartsheet

⏲ 1 minute 32 seconds 👁 107.7K

Echo Consulting

Smartsheet Tutorial: How to Manage Multiple Projects in Smartsheet

⏲ 32 minutes 10 seconds 👁 9.9K

Smartsheet Time Sheet Tutorial from smartsheet tutorial

Smartsheet Time Sheet Tutorial

⏲ 91 sec ✓ 05-Jul-2016

Proper Project Management

What Is Smartsheet? Everything You Want To Know In Under 10 Mins!

⏲ 7 minutes 28 seconds 👁 38.5K

Echo Consulting

Smartsheet Tutorial: How to Create a Metrics Sheet in Smartsheet

⏲ 29 minutes 16 seconds 👁 12.4K

If you want to get a chunky, full-sounding guitar mix, there are a few tricks to get you there fast - and Skunk Anansie guitarist and ACM tutor Ace is here to show ’em to you.<br/><br/>In this video masterclass, filmed at London’s Metropolis studios, Ace covers techniques including chord approaches, choice of pickups and panning, all of which should get your guitars sounding massive.

Ace's Masterclasses Guitar Tracking Tips

⏲ 3:58 👁 245K

Learnit Training

Introduction to Smartsheet - Live Class

⏲ 59 minutes 34 seconds 👁 2.9K

Proper Project Management

How To Use Smartsheet [Step By Step Smartsheet Tutorial]

⏲ 44 minutes 👁 50.9K

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

Proper Project Management

How To Create A Project Plan In Smartsheet

⏲ 28 minutes 34 seconds 👁 46.5K

Knowledge By Marcus

How To Use SmartSheet | SmartSheet For Beginners | SmartSheet Project Management Tutorial (2024)

⏲ 20 minutes 30 seconds 👁 32.4K

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