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Bado Badi Song : सोशल मीडिया पर एक गाना 'आये हाय ओये होये' काफी ट्रेंड कर रहा है. लोगों को इसमें न सुर दिख रहा, न ताल. बावजूद इसके ये काफी ट्रेंड में है. इंस्टाग्राम पर इसके तमाम रील्स, मीम्स बन रहे हैं. इसमें एक शख्स के साथ एक लड़की को देखा जा सकता है. दोनों गाने पर थिरक रहे हैं. लेकिन अब ये सांग यू ट्यूब ने डिलीट करदिया है। <br/>Bado Badi Song: A song 'Aaye Haye Oye Hoye' is trending a lot on social media. People could see neither tune nor rhythm in it. Despite this, it is quite in trend. Many reels and memes are being made on Instagram. In this, a girl can be seen with a man. Both are dancing to the song. But now YouTube has deleted this song. <br/> <br/> <br/>#BadoBadiSong#chahtfatehalikhan #pakistaninews <br/><br/>~HT.318~PR.115~ED.284~
⏲ 3:2 👁 3M
Maasranga Ranga Shokal
⏲ 4 minutes 12 seconds 👁 29.2K
Jamuna TV
⏲ 53 seconds 👁 22.8K
Investors who witnessed the meteoric rise coinciding with the Model Y launch in early 2020 have largely held on despite the recent downturn. Out of 32 analysts, 9 recommend buying Tesla, 14 hold neutral ratings, and only 9 recommend selling, according to TipRanks.
⏲ 0:54 👁 475K
Channel 24 Entertainment
⏲ 3 minutes 42 seconds 👁 483.2K
FR Entertainment
⏲ 1 minute 11 seconds 👁 24.9K
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 \
⏲ 4:9 👁 75K
Channel i Tv
⏲ 2 minutes 27 seconds 👁 233.5K
Maasranga Ranga Shokal
⏲ 1 hour 32 minutes 22 seconds 👁 240.3K
Edin Terzic shared his admiration for Real Madrid boss Carlo Ancelotti ahead of the Champions League final.
⏲ 0:33 👁 65K
Maasranga TV Official
⏲ 1 hour 22 minutes 43 seconds 👁 528.9K
Prothom Alo
⏲ 1 hour 22 minutes 47 seconds 👁 206K
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