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_software-developer-outside-and-hacker-are-inside.jpg "Software developer outside and hacker are inside")
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_cattle-monitoring-goes-next-level-with-artificial-intelligence-124-may-29-2024-124-queensland-country-life.jpg "The Department of Agriculture and Fisheries and Goondiwindi-based company Infarm have collaborated to create a prototype automated camera system to detect cattle and monitor their condition using advances in machine vision and AI.")
⏲ 0:36 👁 750K
_unicorn-sausage-holder-unicorn-testing-cooking-hacks-and-crafts.jpg "Do you like to cook? Our unicorn loves to get to work in the kitchen! And cool crafts and gadgets will help her do it. Watch it and write in the comments what you like more - kitchen gadgets or crafts?<br/><br/>0:00 Unicorn Egg In Toilet<br/>0:39 Crocodile Chopper / Jaw<br/>1:52 Snack & Drink Cup / Plastic container<br/>2:35 Dumpling Maker / Ice mold<br/>3:40 Popcorn Machine / Corn cob<br/>4:49 Egg Poacher / Ladle<br/>5:34 Butter Cutter / Strainer <br/>6:34 Corn shucker / Toothpick<br/>7:42 Strawberry stem remover / Straw<br/>8:45 Sausage sharpener / Soda Can <br/><br/>#unicorn #hacks #gadgets")
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_this-hilarious-chicken-won39t-stop-clucking-about-his-burgers.jpg "Get ready for a laugh-out-loud encounter you won't believe! This hilarious video features a one-man clucking machine who's also a burger-slinging genius.Witness the incredible (and slightly insane) salesmanship of a laid-back guy who's channeling his inner chicken to sell his delicious chicken burgers. <br/><br/>Video ID: WGA525278<br/><br/>All the content on Heartsome is managed by WooGlobe<br/><br/>For licensing and to use this video, please email licensing(at)Wooglobe(dot)com.<br/><br/>►SUBSCRIBE for more Heartsome Videos: <br/><br/>-----------------------<br/>Copyright - #wooglobe #heartsome <br/>#funnychickenburgervendor #hilarioussalespitch #incrediblemarketingstrategy #viralvideo #deliciouschickenburgers #streetfood #fastfoodmarketing #funnyfoodvideos #chickenburgerrecipe #cantstopwontstop #toofunny #cluckinggood #marketinggenius #wheredidhegetthatoutfit #sogood #ilovechicken #musttry #foodie #comedygold #caughtoncamera #foodphotography<br/>")
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_watching-you-the-world-of-palantir-and-alex-karp-124-movie-124-2024-124-official-trailer.jpg "With his company Palantir, businessman Alex Karp created a powerful piece of data analysis software. It provides intelli | dG1fTGJJbE9hQy10YTQ")
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_tesla-recalls-vehicles-over-faulty-seat-belt-warning-system.jpg "Tesla Recalls Vehicles , Over Faulty Seat Belt Warning System.<br/>Over 125,000 Tesla vehicles are being recalled in the U.S., the National Highway Traffic Safety Administration (NHTSA) said on May 31.<br/>The recall is due to a seat belt warning <br/>system malfunction, NBC News reports. .<br/>Some vehicles failed to flash <br/>warning lights or make noise when a <br/>driver didn't buckle up, the regulator said. .<br/>The following vehicles <br/>are affected by the recall:.<br/>2012-2024 Model S, 2015-2024 Model X, 2017-2023 Model 3 and 2020-2023 Model Y. .<br/>An over-the-air software update will be released by Tesla in June to fix the issue.<br/>Tesla recalled another 200,000 vehicles in January over a software malfunction that could impede drivers' visibility when reversing.<br/>Almost 4,000 Cybertrucks were also recalled in April over a faulty accelerator pedal pad.<br/>Last month, auto safety regulators <br/>launched an investigation to determine <br/>whether Tesla's December recall of <br/>over 2 million vehicles was adequate.<br/>The recall was to implement new Autopilot safeguards following a string of crashes.")
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_lucid-dreams-by-tape-machines-best-song-collections.jpg "Best Song Collections<br/>Track Title: Lucid Dreams<br/>Artist:Tape Machines<br/>Thanks to Epidemic Sound for this wonderful song collections<br/>Credit to Canva, Capcut, Pixabay, Pexels and mixkit for the video clip.")
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_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 \")
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_software-developer-outside-and-hacker-are-inside.webp "Software developer outside and hacker are inside")
_cattle-monitoring-goes-next-level-with-artificial-intelligence-124-may-29-2024-124-queensland-country-life.webp "The Department of Agriculture and Fisheries and Goondiwindi-based company Infarm have collaborated to create a prototype automated camera system to detect cattle and monitor their condition using advances in machine vision and AI.")
_unicorn-sausage-holder-unicorn-testing-cooking-hacks-and-crafts.webp "Do you like to cook? Our unicorn loves to get to work in the kitchen! And cool crafts and gadgets will help her do it. Watch it and write in the comments what you like more - kitchen gadgets or crafts?<br/><br/>0:00 Unicorn Egg In Toilet<br/>0:39 Crocodile Chopper / Jaw<br/>1:52 Snack & Drink Cup / Plastic container<br/>2:35 Dumpling Maker / Ice mold<br/>3:40 Popcorn Machine / Corn cob<br/>4:49 Egg Poacher / Ladle<br/>5:34 Butter Cutter / Strainer <br/>6:34 Corn shucker / Toothpick<br/>7:42 Strawberry stem remover / Straw<br/>8:45 Sausage sharpener / Soda Can <br/><br/>#unicorn #hacks #gadgets")
_this-hilarious-chicken-won39t-stop-clucking-about-his-burgers.webp "Get ready for a laugh-out-loud encounter you won't believe! This hilarious video features a one-man clucking machine who's also a burger-slinging genius.Witness the incredible (and slightly insane) salesmanship of a laid-back guy who's channeling his inner chicken to sell his delicious chicken burgers. <br/><br/>Video ID: WGA525278<br/><br/>All the content on Heartsome is managed by WooGlobe<br/><br/>For licensing and to use this video, please email licensing(at)Wooglobe(dot)com.<br/><br/>►SUBSCRIBE for more Heartsome Videos: <br/><br/>-----------------------<br/>Copyright - #wooglobe #heartsome <br/>#funnychickenburgervendor #hilarioussalespitch #incrediblemarketingstrategy #viralvideo #deliciouschickenburgers #streetfood #fastfoodmarketing #funnyfoodvideos #chickenburgerrecipe #cantstopwontstop #toofunny #cluckinggood #marketinggenius #wheredidhegetthatoutfit #sogood #ilovechicken #musttry #foodie #comedygold #caughtoncamera #foodphotography<br/>")
_watching-you-the-world-of-palantir-and-alex-karp-124-movie-124-2024-124-official-trailer.webp "With his company Palantir, businessman Alex Karp created a powerful piece of data analysis software. It provides intelli | dG1fTGJJbE9hQy10YTQ")
_tesla-recalls-vehicles-over-faulty-seat-belt-warning-system.webp "Tesla Recalls Vehicles , Over Faulty Seat Belt Warning System.<br/>Over 125,000 Tesla vehicles are being recalled in the U.S., the National Highway Traffic Safety Administration (NHTSA) said on May 31.<br/>The recall is due to a seat belt warning <br/>system malfunction, NBC News reports. .<br/>Some vehicles failed to flash <br/>warning lights or make noise when a <br/>driver didn't buckle up, the regulator said. .<br/>The following vehicles <br/>are affected by the recall:.<br/>2012-2024 Model S, 2015-2024 Model X, 2017-2023 Model 3 and 2020-2023 Model Y. .<br/>An over-the-air software update will be released by Tesla in June to fix the issue.<br/>Tesla recalled another 200,000 vehicles in January over a software malfunction that could impede drivers' visibility when reversing.<br/>Almost 4,000 Cybertrucks were also recalled in April over a faulty accelerator pedal pad.<br/>Last month, auto safety regulators <br/>launched an investigation to determine <br/>whether Tesla's December recall of <br/>over 2 million vehicles was adequate.<br/>The recall was to implement new Autopilot safeguards following a string of crashes.")
_contagion-of-fear-2024-hindi-dubbed-movie.webp "Contagion of Fear (2024) Hindi Dubbed Movie")
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_lucid-dreams-by-tape-machines-best-song-collections.webp "Best Song Collections<br/>Track Title: Lucid Dreams<br/>Artist:Tape Machines<br/>Thanks to Epidemic Sound for this wonderful song collections<br/>Credit to Canva, Capcut, Pixabay, Pexels and mixkit for the video clip.")
_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 \")
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