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Greenhouse ideas to grow anything everywhere! from grow fast with me777
⏲ 3:25 👁 395K
Rose Rosy Te Gulab (Full) Hindi movie
⏲ 0:55 👁 1.9M
Limitless Space Institute compares the travel time of spacecraft propelled by nuclear power to that of imaginative fusion propulsion. <br/><br/>Credit: Limitless Space Institute
⏲ 4:39 👁 4.7M
Surah Al-Mulk - سورة الملك | Calming and Relaxing Quran Recitation | Islamipk<br/><br/>Surah Al-Mulk (سورۃالملک) is the 67th chapter of the Quran, and is considered one of the most powerful and majestic chapters of the Quran. Here is a brief description:<br/><br/>- Name: Al-Mulk (الملک) meaning \
⏲ 10:50 👁 1.4M
Welcome to our fascinating exploration of unusual body mysteries! Join us in this 20-minute journey as we delve into the extraordinary tale of \
⏲ 21:4 👁 3.1M
The ACLU filed legal challenges against former President Donald Trump’s administration more than 400 times during his first term to halt policies like separating immigrant families. The ACLU is preparing to challenge Trump's promises of mass deportation raids and the largest deportation operation in U.S. history if he wins another term. Trump has endorsed plans like using the National Guard for major arrest operations of undocumented immigrants, opening large detention camps, and fast-tracking deportations. Conservatives have prepared a \
⏲ 0:45 👁 200K
Ngayong Biyernes, makakapanayam ni Boy Abunda ang timeless heartthrob na si Ian Veneracion. Ang kaniyang mga rebelasyon, alamin mamaya sa 'Fast Talk with Boy Abunda.' <br/><br/>Get to know the latest update on your favorite showbiz personality together with 'The King of Talk' Boy Abunda in 'Fast Talk with Boy Abunda,’ weekdays at 4:45 p.m. on GMA Afternoon Prime. #FastTalkwithBoyAbunda<br/>
⏲ 0:15 👁 145K
Former US President Donald Trump held a fundraiser event in San Francisco hosted by venture capitalist David Sacks and investor Chamath Palihapitiya. Ticket prices ranged from $50,000 per head to $300,000 for a photo opportunity with Trump. The event was expected to raise $12 million for Trump's 2024 presidential campaign. Support for Trump among tech investors has been growing as Biden policies are seen as unfavorable to the tech industry in areas like regulation and taxes. Recent SEC actions against crypto and antitrust probes of big tech under Biden have also fueled support for Trump's policies.
⏲ 0:42 👁 115K
fast music video in enjuyi
⏲ 0:38 👁 145K
Decathlon, a sports store located in Stockport, partnered with Soul Padel to host a beginner-friendly introduction to the much talked about sport. The sport is described as a combination between squash and tennis. <br/><br/>Originating in Mexico in the 1960s, the sport is usually played in doubles on an enclosed court which is one third of the size of a tennis court. The ball can bounce off of any wall but can only hit the turf once before being returned.<br/>
⏲ 1:24 👁 100K
Love's Fast Lane 2024 - Hallmark Movies 2024 - Hallmark Romance 2024 - New Holiday from grow fast with me777
⏲ 1:20:0 👁 120K
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
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