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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 \
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لا ترميقنينة المشروبات ، اصنع بها أفكار بسيطة لتزيين منزلك و الحفاظ على نظافة البيئة<br/>Do not throw away drinks bottles, create simple ideas with them to decorate your home and keep the environment clean<br/><br/>اشتركوا في القناة للمزيد من الفيديوهات..Subscribe to the channel for more videos<br/>للتواصل :<br/> mohamedabdoh177@gmail.com<br/>00212666435246
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Singer Vincent Bennett and guitarist Tom Smith Jr talk us through the two decade and 10 album long career of The Acacia Strain.
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A 25-year-old man was fined RM100 in default of one day in jail by the Kajang Magistrate's Court on Thursday (June 6) for placing stickers of the Israeli flag at a fast-food outlet last week.<br/><br/>Tariq Hazim Mohd Yusri told the court he had committed the offence as he was angry that some of his family members had died in Palestine.<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline
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Huawei's AI Chip Rivalry: Ascend 910B vs. Nvidia's A100<br/><br/>Huawei Technologies has boldly claimed that its latest AI chip, the Ascend 910B, rivals and even surpasses Nvidia's A100 in certain aspects. This announcement marks a significant milestone for the Chinese tech giant, highlighting its rapid growth in a market traditionally dominated by US-based Nvidia.<br/><br/>Huawei's AI Chip Advancements<br/>Wang Tao, COO of Huawei Ascend and Kunpeng ecosystem, revealed during the Nanjing World Semiconductor Conference that the Ascend 910B AI chip can deliver up to 80% of the efficiency of Nvidia's A100 in large language model training. In some tests, it reportedly outperforms the A100 by 20%. \
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Ngayong Pride Month, ilalabas ni Boy Abunda ang kauna-unahan niyang LGBT-themed album na 'Say It Clear. Say It Loud.'<br/>Video producer and editor: Nherz Almo<br/><br/>Kapuso Showbiz News is on top of the hottest entertainment news. We break down the latest stories and give it to you fresh and piping hot because we are where the buzz is.<br/><br/>Be up-to-date with your favorite celebrities with just a click! Check out Kapuso Showbiz News for your regular dose of relevant celebrity scoop: www.gmanetwork.com/kapusoshowbiznews<br/><br/>Subscribe to GMA Network's official YouTube channel to watch the latest episodes of your favorite Kapuso shows and click the bell button to catch the latest videos: www.youtube.com/GMANETWORK<br/><br/>For our Kapuso abroad, you can watch the latest episodes on GMA Pinoy TV! For more information, visit http://www.gmapinoytv.com<br/><br/>For our Kapuso abroad, you can watch the latest episodes on GMA Pinoy TV! For more information, visit http://www.gmapinoytv.com<br/><br/>Connect with us on:<br/>Facebook: http://www.facebook.com/GMANetwork<br/>Twitter: https://twitter.com/GMANetwork<br/>Instagram: http://instagram.com/GMANetwork
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ChefRizwan babafoodrecipes babafoodrrc<br/>best rice recipe 100% Original Restaurant Style Chinese Rice<br/>Restaurant Style Egg Fried Rice Written Recipe with Direction:<br/>Egg Fried Rice Recipe By Chef Rizwan | How to Make Egg Dried Rice | Egg FriedRice By BaBa Food RRC | Egg Fried Rice Street Food | Restaurant Style Egg Fried Rice | How To Make Egg Fried Rice | Chinese Egg Fried Rice Recipe By BaBa Food RRC | Hotel Style Egg Fried Rice | BaBa Food RRC | Easy Egg Fried Rice | BaBa Food RRC | Chef Rizwan | Chicken Egg Fried Rice | BaBa Food RRC |Chicken Egg Fried Rice By Chef Rizwan | Chicken Egg Fried Rice Recipe | Fried Rice | How To Make Fried Rice | Chicken Fried Rice Recipe | Chicken Fried Rice By BaBa Food RRC | Restaurant Style Chicken Egg Fried Rice Recipe | Time Snacks Recipe | Snacks | Easy Snacks Recipe l Queries Soved ||| Recipe | Quick And Easy Breakfast Recipe | Yummy Evening Snacks Recipe | Evening Snacks Recipe | Snacks | Lockdown Snack Recipe |
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It's Impossible headshot trick free fire
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For almost 50 years now, the BMW 3 Series has represented the core of the BMW brand. It epitomises sporty driving pleasure in the premium midsize class and has made significant contributions to design, driving dynamics and technological innovations in this segment time and again across what is now seven model generations. The character of the current-generation BMW 3 Series has likewise provided a case study in unwavering progress at work. The extensive revisions already introduced for model year 2022 in the areas of design, powertrain, digitalisation and equipment will now be followed up with a fresh package of updates that take the cars’ visual appeal and cutting-edge modernity to new levels. New high-voltage batteries increase the electric range of the plug-in-hybrid models to a maximum 101 kilometres (63 miles) in the WLTP cycle. New chassis tuning further enhances the balance between sporting potency and comfort. And when it comes to digitalisation in the new BMW 3 Series Sedan and new BMW 3 Series Touring, BMW Operating System 8.5 provides the basis for extremely intuitive and comfortable operation – via the upgraded BMW iDrive with QuickSelect – and for extended navigation functions including Augmented View.<br/><br/>These new technological advances are accompanied by precise design modifications for the exterior and interior. New exterior paint finishes and light-alloy wheels accentuate the aura of sporting elegance radiated by the Sedan and Touring. In the interior, the newly designed steering wheels and instrument panel, plus sophisticated equipment features such as the CraftedClarity glass applications, deliver driving pleasure in an ambience of premium modernity.<br/><br/>The new BMW 3 Series Sedan and new BMW 3 Series Touring will be launched worldwide with a production phase-in in July 2024. Both models will be built at BMW Group Plant Munich. The BMW 3 Series Sedan will also be produced at BMW Group Plant San Luis Potosí in Mexico. The new BMW 3 Series Sedan for the Chinese market will be produced at the Tiexi plant in Shenyang operated by the joint venture BMW Brilliance Automotive (BBA).
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Life styles<br/>Village Blogs
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The AI channel is your go-to destination for exploring the fascinating world of artificial intelligence. Dive deep into the latest advancements, trends, and applications of AI, from machine learning and deep learning to natural language processing and computer vision. Join us on a journey of discovery as we unravel the mysteries behind intelligent systems, discuss ethical implications, and showcase cutting-edge research and innovations. Whether you're a seasoned AI enthusiast or just starting your journey, our channel provides valuable insights, tutorials, and discussions to keep you informed and inspired in this rapidly evolving field. Welcome to the future of intelligence!<br/><br/><br/>Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence. These tasks include problem-solving, understanding natural language, recognizing patterns, learning from experience, and making decisions. AI aims to create systems capable of performing complex tasks with autonomy and adaptability.<br/><br/>AI is broadly classified into two types:<br/><br/>Narrow AI (Weak AI): Designed to handle a specific task or a narrow range of tasks. Examples include virtual personal assistants (like Siri or Alexa), recommendation systems, and facial recognition software.<br/><br/>General AI (Strong AI): Hypothetical AI that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, much like a human being. General AI remains largely theoretical and is a major goal for future AI research.<br/><br/>Key techniques in AI include:<br/><br/>Machine Learning (ML): A subset of AI focused on developing algorithms that allow computers to learn from and make predictions or decisions based on data.<br/>Deep Learning: A subset of ML that uses neural networks with many layers (deep neural networks) to analyze various factors of data.<br/>Natural Language Processing (NLP): Enables machines to understand and respond to human language.<br/>Computer Vision: Allows machines to interpret and make decisions based on visual inputs from the environment.
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