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Divya Khossla Seeks Blessings From Ganpati Bappa At Siddhivinayak Temple Amidst The Release Of Savi
⏲ 1:55 👁 3M
DAYZ SA DEERISLE - THE JUNGLE TEMPLE RUN 5.1 UPDAT3
⏲ 16 minutes 31 seconds 👁 6.6K
Temple Run Blazing Sands- In Real Life
⏲ 4 minutes 15 seconds 👁 7.8M
Venom: The Last Dance | Trailer 1
⏲ 3:7 👁 180K
Runs Endless Prince In Jungle Gameplay
⏲ 6 minutes 30 seconds 👁 16.2K
Venom: The Last Dance - Official Trailer - In Cinemas October 25
⏲ 3:1 👁 2.5M
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
The Zombies | movie | 2024 | Official Trailer
⏲ 1:12 👁 950K
Ayodhya Discontent: BJP's Surprising Defeat in the Shadow of Ram Mandir Consecration
⏲ 5:42 👁 185K
Session 14: Introduction to Supervised Machine Learning in Open RAN
⏲ 4:28 👁 40K
Tourist spots RHINO walking down the street while dining in Nepal
⏲ 0:16 👁 90K
智齒Limbo2021
⏲ 1:57:33 👁 445K
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_divya-khossla-seeks-blessings-from-ganpati-bappa-at-siddhivinayak-temple-amidst-the-release-of-savi.webp "Bollywood actress-director Divya Khossla spotted at Siddhivinayak Mandir (Mumbai) to seek blessings from Ganpati Bappa amidst the release of her movie, Savi. The Savi Star was seen donning a white ethnic attire & also got clicked holding Lord Ganesha's portrait in her hands.")
_dayz-sa-deerisle-the-jungle-temple-run-5-1-updat3.webp "Evolva's House")
_temple-run-blazing-sands-in-real-life.webp "VRG Crazy")
_venom-the-last-dance-124-trailer-1.webp "Tom Hardy returns as Venom, one of Marvel’s greatest and most complex characters, for the final film in the trilogy.")
_runs-endless-prince-in-jungle-gameplay.webp "Game Chip")
_venom-the-last-dance-official-trailer-in-cinemas-october-25.webp "In Venom: The Last Dance, Tom Hardy returns as Venom, one of Marvel’s greatest and most complex characters, for the final film in the trilogy. Eddie and Venom are on the run. Hunted by both of their worlds and with the net closing in, the duo are forced into a devastating decision that will bring the curtains down on Venom and Eddie's last dance.<br/><br/>Venom: The Last Dance stars Tom Hardy, Chiwetel Ejiofor, Juno Temple, Rhys Ifans, Peggy Lu, Alanna Ubach and Stephen Graham.<br/><br/>The film is directed by Kelly Marcel from a screenplay she wrote, based on a story by Hardy and Marcel. The film is produced by Avi Arad, Matt Tolmach, Amy Pascal, Kelly Marcel, Tom Hardy and Hutch Parker.<br/><br/>Venom: The Last Dance hits cinemas on 25th October 2024.")
_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 \")
_the-zombies-124-movie-124-2024-124-official-trailer.webp "During the late Qing Dynasty, the British invaded Guangzhou. At this time, an ancient temple in Sanyuanli was attacked b | dG1fbzNwWlVERGR3WEE")
_ayodhya-discontent-bjp39s-surprising-defeat-in-the-shadow-of-ram-mandir-consecration.webp "The Ram mandir issue was the BJP’s calling card for more than three decades. So when it fulfilled its promise of building a temple in Ayodhya—whose consecration took place earlier this year in January, just a few months before the Lok Sabha elections—it seemed like a major victory for the saffron party. But the election result has produced a major twist, where the BJP lost in Ayodhya by over 50,000 votes. In January 2024, two weeks before the Ram mandir consecration, Outlook’s Tanul Thakur visited the temple town and found that, despite all the fervour surrounding the temple, disenchantment wasn’t too far from the perceived ‘development’.<br/><br/>Follow us:<br/>Website: https://www.outlookindia.com/<br/>Facebook: https://www.facebook.com/Outlookindia<br/>Instagram: https://www.instagram.com/outlookindia/<br/>X: https://twitter.com/Outlookindia<br/>Whatsapp: https://whatsapp.com/channel/0029VaNrF3v0AgWLA6OnJH0R<br/>Youtube: https://www.youtube.com/@OutlookMagazine<br/>Dailymotion: https://www.dailymotion.com/outlookindia<br/><br/>#BJP#Ayodhya #RamMandir #LokSabhaElections")
_session-14-introduction-to-supervised-machine-learning-in-open-ran.webp "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 \")
_tourist-spots-rhino-walking-down-the-street-while-dining-in-nepal.webp "A globetrotting student shared her \")
_limbo-2021.webp "Limbo is a 2021 Hong Kong action thriller film directed by Soi Cheang (郑保瑞 Cheang Pou-soi) and starring Gordon Lam Ka-tung (林家棟), Cya Liu Ya-se (刘雅瑟), Mason Lee Chun (李淳) and Hiroyuki Ikeuchi ( (池内 博之). The film is based on the novel Wisdom Tooth by Chinese novelist Lei Mi.<br/><br/>Probationary Inspector Will Yam (Mason) is a recent graduate of the police academy. Due to a wave of serial killings, Will is partnered with veteran officer Cham Lau (Gordon) of Regional Crime Unit, who was recently reinstated on the force. However, the duo is unable to solve the cases and instead causes a series of incidents. Later, Cham re-encounters a drug-addicted street urchin, Wong To (Cya), who ran over his wife and daughter in the past, and his anger makes him spiral out of control and continuously abuse her. Will clumsily loses his pistol, which is found by the serial killer. With the killer lurking in the city, a crisis grows closer.")
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