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A Beauty's Plan -EP 14 English SUB
⏲ 11:22 👁 260K
VOREST AG
⏲ 3 minutes 52 seconds 👁 390
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.
⏲ 2:15 👁 90K
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.
⏲ 4:37 👁 85K
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.
⏲ 0:42 👁 90K
A Beauty's Plan -EP 12 English SUB
⏲ 15:21 👁 215K
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 \
⏲ 4:9 👁 75K
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.
⏲ 1:30 👁 80K
John Giannandrea, Apple's senior vice president of AI and machine learning, is pivotal in leading the company's AI strategy. New AI features for iPhone, iPad, and Mac are expected to be announced under his leadership at the upcoming WWDC conference on Monday. Giannandrea was a top executive at Google before joining Apple in 2018 to focus on boosting its work in AI and machine learning. Giannandrea is described as a humble and ahead-of-the-curve technologist who doesn't seek publicity like other tech executives. At Apple, his team's work has included AI features that enhance photos, accessibility, and Siri, though most have been behind-the-scenes until now. In addition to his tech career, Giannandrea also sits on the board of the SETI Institute, which focuses on searching for extraterrestrial life.
⏲ 0:51 👁 75K
The King and Queen attended the official opening of the Winston Churchill Education and Learning Centre, on the site of the British Normandy Memorial in France. The new building houses two educational exhibition galleries telling the stories of those who fought on D-Day and in the Battle of Normandy, curated by the Royal British Legion.Report by Kennedyl. Like us on Facebook at http://www.facebook.com/itn and follow us on Twitter at http://twitter.com/itn
⏲ 1:40 👁 195K
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.
⏲ 5:33 👁 80K
A down-on-his-luck chef with gambling problems flees to a Latin American villa, where he assumes the identity of another man.
⏲ 1:41:39 👁 50K
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