Did you mean?
Search Results - Showing 36 - 48 Of 70
_what-are-people-doing-at-such-a-height.jpg "Your Quaries:-<br/><br/>At great heights, people engage in various activities, often driven by work, adventure, or scientific research. Construction workers on skyscrapers and bridges perform high-altitude tasks, securing steel beams, welding, and installing glass panes while adhering to stringent safety protocols. Climbers and mountaineers, driven by a sense of adventure and the challenge of conquering peaks, scale mountains like Everest, enduring harsh weather and thin air. Pilots and flight attendants operate commercial aircraft, ensuring safe travel for passengers thousands of feet above the ground. Researchers and meteorologists use high-altitude balloons, drones, and planes to gather data on atmospheric conditions, contributing to weather forecasting and climate studies. In tall observatories, astronomers peer into the cosmos, free from the interference of ground-level light pollution. Extreme sports enthusiasts participate in activities like skydiving, base jumping, and paragliding, seeking thrills and adrenaline rushes. At such heights, whether for work, research, or recreation, people rely on specialized training, equipment, and safety measures to navigate and thrive in these elevated environments.")
⏲ 4:40 👁 85K
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.jpg "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
_is-sevenoaks-still-a-safe-tory-seat-hear-directly-from-the-voters.jpg "The Conservatives have a significant lead in the polls in Sevenoaks, but is the historically tory safe seat more at risk than the data is letting on?")
⏲ 3:7 👁 805K
_vinicius-deserves-the-ballon-d39or-martinelli.jpg "Gabriel Martinelli believes Brazil teammate and UCL winner Vinicius Junior should win the Ballon d'Or")
⏲ 1:6 👁 50K
_graduation-for-gaza-victims-held-at-university-of-toronto.jpg "Students and faculty at the University of Toronto held a ceremony on Monday (June 03) for Palestinian victims of the war in Gaza who they said will never be able to graduate themselves.<br/><br/>Chandni Desai, assistant professor at the University of Toronto, told Reuters the students are asking the university to disclose and to divest from weapons companies whose bombs have killed many of Gaza’s students.<br/><br/>All 12 of Gaza's higher education institutions have been destroyed or damaged by Israel, leaving nearly 90,000 students stranded, and more than 350 teachers and academics had been killed as of May 13, according to Palestinian official data.<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline")
⏲ 2:59 👁 3M
_a-potential-data-breach-for-ticketek-australia.jpg "Days after it was revealed the personal information of Ticketmaster customers may have been stolen, another ticket sales company has disclosed a potential data breach.")
⏲ 1:46 👁 5.2M
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg "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 \")
⏲ 4:28 👁 40K
_brock-harvey39s-10-goals-v-maryborough-round-6-2024.jpg "Brock Harvey's 10 goals v Maryborough - round 6, 2024. Video by Premier Data")
⏲ 3:27 👁 295K
_biden-celebrates-latest-jobs-report-and-economic-gains.jpg "Biden Celebrates Latest , Jobs Report , and Economic Gains .<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>The great American <br/>comeback continues, <br/>but we still have to <br/>make more progress, Joe Biden, President of the United States, via 'The Independent'.<br/>On my watch, 15.6 million <br/>more Americans have <br/>the dignity and respect <br/>that comes with a job. , Joe Biden, President of the United States, via 'The Independent'.<br/>Unemployment has been <br/>at or below 4% for 30 months—<br/>the longest stretch in 50 years. , Joe Biden, President of the United States, via 'The Independent'.<br/>And a record high <br/>share of working-age <br/>women have jobs, Joe Biden, President of the United States, via 'The Independent'.<br/>Despite Bureau of Labor Statistics data showing <br/>a change of only 4%, the unemployment <br/>rate exceeded economists' expectations. .<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The month of May also saw wages go <br/>up by 0.4%, contributing to a 4.1% <br/>increase since the same time in 2023.<br/>'The Independent' reports that the increase <br/>in wages means that workers' earnings <br/>have now outpaced inflation.<br/>According to BLS data, <br/>the consumer price index <br/>increased by 3.4% in the past year")
⏲ 1:31 👁 40K
_data-finds-40-lgbtq-players-experience-discrimination.jpg "As top-level professional sports continue to battle on-field homophobic incidents, local sporting clubs have been warned they risk losing a generation of players unless they commit to reducing discrimination.")
⏲ 2:41 👁 35K
_tu-kya-jaane-lyrics-video-amar-singh-chamkila.jpg "Hi viewers <br/>Welcome back to my channel <br/>This video is very entertaining <br/>Please like & comments!")
⏲ 4:35 👁 35K
_amar-singh-chamkila-2024-punjabi-movie.jpg "Amar Singh Chamkila (2024)Punjabi Movie")
⏲ 1:58:56 👁 225K
Related Searches
Search Videos
Recent Searches
_what-are-people-doing-at-such-a-height.webp "Your Quaries:-<br/><br/>At great heights, people engage in various activities, often driven by work, adventure, or scientific research. Construction workers on skyscrapers and bridges perform high-altitude tasks, securing steel beams, welding, and installing glass panes while adhering to stringent safety protocols. Climbers and mountaineers, driven by a sense of adventure and the challenge of conquering peaks, scale mountains like Everest, enduring harsh weather and thin air. Pilots and flight attendants operate commercial aircraft, ensuring safe travel for passengers thousands of feet above the ground. Researchers and meteorologists use high-altitude balloons, drones, and planes to gather data on atmospheric conditions, contributing to weather forecasting and climate studies. In tall observatories, astronomers peer into the cosmos, free from the interference of ground-level light pollution. Extreme sports enthusiasts participate in activities like skydiving, base jumping, and paragliding, seeking thrills and adrenaline rushes. At such heights, whether for work, research, or recreation, people rely on specialized training, equipment, and safety measures to navigate and thrive in these elevated environments.")
_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 \")
_is-sevenoaks-still-a-safe-tory-seat-hear-directly-from-the-voters.webp "The Conservatives have a significant lead in the polls in Sevenoaks, but is the historically tory safe seat more at risk than the data is letting on?")
_vinicius-deserves-the-ballon-d39or-martinelli.webp "Gabriel Martinelli believes Brazil teammate and UCL winner Vinicius Junior should win the Ballon d'Or")
_graduation-for-gaza-victims-held-at-university-of-toronto.webp "Students and faculty at the University of Toronto held a ceremony on Monday (June 03) for Palestinian victims of the war in Gaza who they said will never be able to graduate themselves.<br/><br/>Chandni Desai, assistant professor at the University of Toronto, told Reuters the students are asking the university to disclose and to divest from weapons companies whose bombs have killed many of Gaza’s students.<br/><br/>All 12 of Gaza's higher education institutions have been destroyed or damaged by Israel, leaving nearly 90,000 students stranded, and more than 350 teachers and academics had been killed as of May 13, according to Palestinian official data.<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline")
_a-potential-data-breach-for-ticketek-australia.webp "Days after it was revealed the personal information of Ticketmaster customers may have been stolen, another ticket sales company has disclosed a potential data breach.")
_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 \")
_brock-harvey39s-10-goals-v-maryborough-round-6-2024.webp "Brock Harvey's 10 goals v Maryborough - round 6, 2024. Video by Premier Data")
_biden-celebrates-latest-jobs-report-and-economic-gains.webp "Biden Celebrates Latest , Jobs Report , and Economic Gains .<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>'The Independent' reports that the United States economy <br/>surpassed expectations in May while adding 272,000 jobs, <br/>giving President Joe Biden a boost ahead of the 2024 election.<br/>The great American <br/>comeback continues, <br/>but we still have to <br/>make more progress, Joe Biden, President of the United States, via 'The Independent'.<br/>On my watch, 15.6 million <br/>more Americans have <br/>the dignity and respect <br/>that comes with a job. , Joe Biden, President of the United States, via 'The Independent'.<br/>Unemployment has been <br/>at or below 4% for 30 months—<br/>the longest stretch in 50 years. , Joe Biden, President of the United States, via 'The Independent'.<br/>And a record high <br/>share of working-age <br/>women have jobs, Joe Biden, President of the United States, via 'The Independent'.<br/>Despite Bureau of Labor Statistics data showing <br/>a change of only 4%, the unemployment <br/>rate exceeded economists' expectations. .<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The greatest increase was seen in the health care <br/>sector, which added 68,000 jobs in May, <br/>while the government added another 43,000.<br/>The month of May also saw wages go <br/>up by 0.4%, contributing to a 4.1% <br/>increase since the same time in 2023.<br/>'The Independent' reports that the increase <br/>in wages means that workers' earnings <br/>have now outpaced inflation.<br/>According to BLS data, <br/>the consumer price index <br/>increased by 3.4% in the past year")
_data-finds-40-lgbtq-players-experience-discrimination.webp "As top-level professional sports continue to battle on-field homophobic incidents, local sporting clubs have been warned they risk losing a generation of players unless they commit to reducing discrimination.")
_tu-kya-jaane-lyrics-video-amar-singh-chamkila.webp "Hi viewers <br/>Welcome back to my channel <br/>This video is very entertaining <br/>Please like & comments!")
_amar-singh-chamkila-2024-punjabi-movie.webp "Amar Singh Chamkila (2024)Punjabi Movie")
![[+]](/images/menu.gif){kind=small}