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Kamyabi Ki Badi Vajah
⏲ 0:42 👁 130K
Meet Achieve
⏲ 2 minutes 32 seconds 👁 2.6K
The Origins of Achieve
⏲ 1 minute 9 seconds 👁 376
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Register for Achieve using an access code
⏲ 1 minute 15 seconds 👁 19.4K
How Does LearningCurve Work?
⏲ 1 minute 53 seconds 👁 74.7K
Culture Day Speech
⏲ 0:33 👁 135K
Student registration for Achieve via Canvas
⏲ 1 minute 46 seconds 👁 47.9K
The Macmillan Learning Student Store
⏲ 1 minute 3 seconds 👁 195
Jag Sindhi Jag Wel Vihan Ji Na Aahe
⏲ 5:33 👁 115K
Taking a Diagnostic Practice Test in Achieve
⏲ 1 minute 57 seconds 👁 364
The Institute at Macmillan Learning
⏲ 1 minute 41 seconds 👁 8
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_meet-achieve.jpg "Macmillan Learning")
_kamyabi-ki-badi-vajah.webp "Welcome to our channel dedicated to helping you discover the path to success through learning and developing your professional skills. Whether you are a student looking to bright your career or a working aiming to your field, our videos are designed to provide valuable insights, tips, and resources to help you achieve your goals.")
_meet-achieve.webp "Macmillan Learning")
_the-origins-of-achieve.webp "Macmillan Learning")
_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 \")
_register-for-achieve-using-an-access-code.webp "Macmillan Learning")
_how-does-learningcurve-work.webp "Macmillan Learning")
_culture-day-speech.webp "Welcome to our channel dedicated to helping you discover the path to success through learning and developing your professional skills. Whether you are a student looking to bright your career or a working aiming to your field, our videos are designed to provide valuable insights, tips, and resources to help you achieve your goals.")
_student-registration-for-achieve-via-canvas.webp "Macmillan Learning")
_the-macmillan-learning-student-store.webp "Macmillan Learning")
_jag-sindhi-jag-wel-vihan-ji-na-aahe.webp "Welcome to our channel dedicated to helping you discover the path to success through learning and developing your professional skills. Whether you are a student looking to bright your career or a working aiming to your field, our videos are designed to provide valuable insights, tips, and resources to help you achieve your goals.")
_taking-a-diagnostic-practice-test-in-achieve.webp "Macmillan Learning")
_the-institute-at-macmillan-learning.webp "Macmillan Learning")
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