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Movie Story: AK Srivastava an officer of the Department of Financial Crimes is diagnosed with retrograde amnesia despite which he solves the case of a Chit Fund Scam by listening to different perspectives of who he was and how he came to the hospital.

Kadak Singh _ Suspense Thriller Movie _ Pankaj Tripathi, Parvathy Thiruvothu, Sanjana Sanghi

⏲ 2:8:13 👁 175K

Ishtar Music

Pankaj Udhas Collection | Audio Jukebox | Ishtar Music

⏲ 1 hour 7 minutes 40 seconds 👁 7.8M

Falguni Pathak

Falguni Pathak - Meri Chunar Udd Udd Jaye

⏲ 5 minutes 4 seconds 👁 79.8M

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 👁 70K

Sumit Bhyan

HOME TUITION || Middle Class Family || Sumit Bhyan

⏲ 33 minutes 23 seconds 👁 385.8K

Hitz Music

Ankaha (Song) Main ATAL Hoon | Armaan Malik, Shreya Ghoshal, Salim-Sulaiman, Manoj M | Pankaj T

⏲ 3 minutes 47 seconds 👁 2.3M

Sajni (Full Video)- Arijit Singh, Ram Sampath - Laapataa Ladies -Aamir Khan Productions<br/><br/> #6 on Trending for music<br/>Presenting the Full Video Song \

Sajni (Full Video)- Arijit Singh, Ram Sampath - Laapataa Ladies -Aamir Khan Productions

⏲ 2:50 👁 95K

Pop Chartbusters

Super Hit Ghazals By Jagjit Singh, Pankaj Udhas, Ghulam Ali (Audio) Jukebox | All Time Favorite

⏲ 1 hour 4 minutes 39 seconds 👁 2.1M

Pop Chartbusters

Pankaj Udhas Ghazals Jukebox - Birthday Special

⏲ 1 hour 1 minute 1 second 👁 1.7M

Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \

Session 14: Introduction to Supervised Machine Learning in Open RAN

⏲ 4:28 👁 35K

Shemaroo Filmi Gaane

Best of Ghazals video JUKEBOX | Jagjit Singh | Ghulam Ali | Pankaj Udhas | Top 10 Ghazals

⏲ 1 hour 2 minutes 14 seconds 👁 5.4M

TheUrdupoets

'Sabko Maloom Hai Mein Sharabi Nahin...' sung by Pankaj Udhas

⏲ 13 minutes 12 seconds 👁 11.4M

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