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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 \")
⏲ 4:28 👁 40K
_how-to-grow-cactus-plant--cactus--greenthumb--shorts--viral--sourcevideo--cactuslover--sacculant360p-2.jpg "Every type videos")
⏲ 0:19 👁 35K
_how-to-plant-and-grow-celerytips-that-promise-a-successful-harvest.jpg "Crisp celery shines as a cool-season vegetable in spring or fall—but you have to be patient.")
⏲ 0:39 👁 115K
_twinkle-twinkle-lucky-stars-eng-sub-1985.jpg "Twinkle, Twinkle, Lucky Stars (released in the Philippines as Dragon Mission) is a 1985 Hong Kong action comedy film starring and directed by Sammo Hung Kam-bo (洪金寶). The film co-stars Jackie Chan (成龍) and Yuen Biao (元彪). It is the third installment in the Lucky Stars series, following Winners and Sinners (1983) and My Lucky Stars (1985).<br/><br/>The Five Lucky Stars, one of them being replaced by a younger brother, are assigned by the police to allow Wong Chi-ching (關之琳 Rosamund Kwan Chi-lam), an actress to live with them. The actress has information on a crime syndicate and assassins are sent after her. Ricky (Yuen) and Swordflower (胡慧中 Sibelle Hu Hui-chung) are to stay at the actress’s home undercover to capture the assassins. Throughout the course of the movie, the Stars chase the attractive woman around the house, though their efforts are largely unsuccessful. At the climax, the three assassins eventually end up at a recreation building to take down Swordflower (mistaking her to be their target), but coincidentely Kidstuff (Sammo) and his friends are there and they recognize one of them, with help from the actress. Muscle (Jackie) and Ricky arrive in the nick of time and a showdown takes place, eventually ending with the protagonists victorious. The police and a large ensemble of Chinese actors arrive to congratulate them.<br/>")
⏲ 1:34:29 👁 145K
_doubts-grow-over-gaza-truce-plan-as-israel-hamas-battles-rage.jpg "<br/>Visit our website:<br/>http://www.france24.com<br/><br/>Like us on Facebook:<br/>https://www.facebook.com/FRANCE24.English<br/><br/>Follow us on Twitter:<br/>https://twitter.com/France24_en<br/>")
⏲ 1:30 👁 30K
_the-modern-fastest-growing-mega-city-of-east-africa-s7-ep-13-dar-es-salaam-pakistan-to-south-africa-wildlens-by-abrar.jpg "The Modern Fastest Growing Mega City of East Africa S7 EP.13 -Dar Es Salaam-Pakistan to South Africa- wildlens by abrar from muscle grow")
⏲ 26:12 👁 25K
_tom-jerry-an-extraterrestrial-friendship-wb-kids.jpg "1. In one episode, Tom pretends to be a baby to lure Jerry out of his mouse hole. But when Jerry sees through his disguise, he pulls on Tom's tail, causing him to cry like a real baby.<br/><br/>2. In another episode, Tom challenges Jerry to a game of golf. Jerry starts off strong, hitting the ball perfectly, while Tom struggles to even make contact. Eventually, Tom's frustration gets the better of him and he smashes the golf club in half before storming off.<br/><br/>3. In yet another episode, Tom tries to catch Jerry using a trap made out of cheese. But Jerry outsmarts him by using a helium balloon to float up to the ceiling, avoiding the trap completely.<br/><br/>4. One of the funniest moments in Tom and Jerry is when Jerry teams up with his cousin, Muscles Mouse, to take on Tom. As the two mice outsmart and outmaneuver Tom at every turn, it becomes clear that he is no match for their combined strength and cunning.<br/><br/>5. In a classic episode, Tom dresses up as a maid to catch Jerry, but his disguise backfires when he accidentally sucks himself up with a vacuum cleaner. Jerry laughs at Tom's misfortune as he struggles to free himself from the suction.")
⏲ 3:12 👁 85K
_the-end-foryou-foryoupage-freefire-freefirehighlights.jpg "It's Impossible headshot trick free fire")
⏲ 0:19 👁 25K
_decordingyt-hacked-algoritam124-how-to-grow-on-youtube-in-just-1-video.jpg "Is video ma ap ko bataya gya ha how to grow on youtube | YouTube channel kaisa grow karan. jis ma mana 7 youtube tips ka bara ma bataya ha. Jo algrow or decordingyt jaisa channel ka grow banna ka sabab Bani. Or all A to Z 1 video viral formula ka bara ma bataya. Ka ap kaisa youtube algorithms ko samj sakta ha. Is bara ma mazeed videos ai gi.<br/><br/>00:00 Intro and step 1<br/>00:42 Step 2<br/>01:26 Step 3<br/>02:04 Step 4<br/>03:40 step 5<br/>04:48 Step 6<br/>05:56 Step 7<br/><br/>@Decordingyt hacked algoritam<br/>How to increase views on youtube<br/>How to get more views on youtube<br/>How to grow a youtube channel<br/>How to grow your YouTube channel<br/>how to start a youtube channel for beginners<br/>how to start a youtube channel<br/>YouTube tips<br/>How to make viral videos<br/>how to start a youtube channel<br/>Make money on youtube<br/>YouTube views kaisa badhaye<br/>New YouTube channel kaisa grow karan<br/>youtube channel ko grow kaisa karan<br/><br/>#decordingyt<br/>#decordingythackedalgoritam<br/>#Howtogrowonyoutube<br/>#Youtube<br/>#growchannel<br/>#youtubechannel")
⏲ 7:10 👁 25K
_top-4-beautiful-girl-doing-leg-exercises-pakkgp-fitnessgoals-fitnessgirl-fitnessjourney-fitnessfreak-fitam-foryou-gymlif.jpg "Top 4 Beautiful girl doing leg exercises #pakkgp<br/>A popular video showcasing four beautiful women performing leg exercises has captured significant attention. Each of them demonstrates a variety of routines, including squats, lunges, leg presses, and deadlifts, highlighting the importance of lower body strength and fitness. The backdrop of a sleek, modern gym adds to the video's appeal. Their dedication and form not only inspire viewers to prioritize leg workouts but also emphasize the benefits of maintaining a toned and strong physique. This engaging visual serves as a motivating example for fitness enthusiasts looking to enhance their leg day routines.<br/>Buy products click the link <br/>https://amzn.to/4c3dXpj<br/>")
⏲ 3:12 👁 380K
_leg-press-with-270kg-and-machine-starts-gym-fitness-legpress-gym-pakkgp-viral-sprots-workout-budybulder-girl.jpg "Leg Press With 270KG And Machine Starts #gym #fitness #legpress #gym #pakkgp #viral #sprots #workout #budybulder #girl")
⏲ 0:23 👁 20K
_most-important-muscle-on-the-front-of-the-shin.jpg "Most Important Muscle On the Front of the Shin<br/>")
⏲ 0:59 👁 30K
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_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 \")
_how-to-grow-cactus-plant--cactus--greenthumb--shorts--viral--sourcevideo--cactuslover--sacculant360p-2.webp "Every type videos")
_how-to-plant-and-grow-celerytips-that-promise-a-successful-harvest.webp "Crisp celery shines as a cool-season vegetable in spring or fall—but you have to be patient.")
_twinkle-twinkle-lucky-stars-eng-sub-1985.webp "Twinkle, Twinkle, Lucky Stars (released in the Philippines as Dragon Mission) is a 1985 Hong Kong action comedy film starring and directed by Sammo Hung Kam-bo (洪金寶). The film co-stars Jackie Chan (成龍) and Yuen Biao (元彪). It is the third installment in the Lucky Stars series, following Winners and Sinners (1983) and My Lucky Stars (1985).<br/><br/>The Five Lucky Stars, one of them being replaced by a younger brother, are assigned by the police to allow Wong Chi-ching (關之琳 Rosamund Kwan Chi-lam), an actress to live with them. The actress has information on a crime syndicate and assassins are sent after her. Ricky (Yuen) and Swordflower (胡慧中 Sibelle Hu Hui-chung) are to stay at the actress’s home undercover to capture the assassins. Throughout the course of the movie, the Stars chase the attractive woman around the house, though their efforts are largely unsuccessful. At the climax, the three assassins eventually end up at a recreation building to take down Swordflower (mistaking her to be their target), but coincidentely Kidstuff (Sammo) and his friends are there and they recognize one of them, with help from the actress. Muscle (Jackie) and Ricky arrive in the nick of time and a showdown takes place, eventually ending with the protagonists victorious. The police and a large ensemble of Chinese actors arrive to congratulate them.<br/>")
_doubts-grow-over-gaza-truce-plan-as-israel-hamas-battles-rage.webp "<br/>Visit our website:<br/>http://www.france24.com<br/><br/>Like us on Facebook:<br/>https://www.facebook.com/FRANCE24.English<br/><br/>Follow us on Twitter:<br/>https://twitter.com/France24_en<br/>")
_the-modern-fastest-growing-mega-city-of-east-africa-s7-ep-13-dar-es-salaam-pakistan-to-south-africa-wildlens-by-abrar.webp "The Modern Fastest Growing Mega City of East Africa S7 EP.13 -Dar Es Salaam-Pakistan to South Africa- wildlens by abrar from muscle grow")
_tom-jerry-an-extraterrestrial-friendship-wb-kids.webp "1. In one episode, Tom pretends to be a baby to lure Jerry out of his mouse hole. But when Jerry sees through his disguise, he pulls on Tom's tail, causing him to cry like a real baby.<br/><br/>2. In another episode, Tom challenges Jerry to a game of golf. Jerry starts off strong, hitting the ball perfectly, while Tom struggles to even make contact. Eventually, Tom's frustration gets the better of him and he smashes the golf club in half before storming off.<br/><br/>3. In yet another episode, Tom tries to catch Jerry using a trap made out of cheese. But Jerry outsmarts him by using a helium balloon to float up to the ceiling, avoiding the trap completely.<br/><br/>4. One of the funniest moments in Tom and Jerry is when Jerry teams up with his cousin, Muscles Mouse, to take on Tom. As the two mice outsmart and outmaneuver Tom at every turn, it becomes clear that he is no match for their combined strength and cunning.<br/><br/>5. In a classic episode, Tom dresses up as a maid to catch Jerry, but his disguise backfires when he accidentally sucks himself up with a vacuum cleaner. Jerry laughs at Tom's misfortune as he struggles to free himself from the suction.")
_the-end-foryou-foryoupage-freefire-freefirehighlights.webp "It's Impossible headshot trick free fire")
_decordingyt-hacked-algoritam124-how-to-grow-on-youtube-in-just-1-video.webp "Is video ma ap ko bataya gya ha how to grow on youtube | YouTube channel kaisa grow karan. jis ma mana 7 youtube tips ka bara ma bataya ha. Jo algrow or decordingyt jaisa channel ka grow banna ka sabab Bani. Or all A to Z 1 video viral formula ka bara ma bataya. Ka ap kaisa youtube algorithms ko samj sakta ha. Is bara ma mazeed videos ai gi.<br/><br/>00:00 Intro and step 1<br/>00:42 Step 2<br/>01:26 Step 3<br/>02:04 Step 4<br/>03:40 step 5<br/>04:48 Step 6<br/>05:56 Step 7<br/><br/>@Decordingyt hacked algoritam<br/>How to increase views on youtube<br/>How to get more views on youtube<br/>How to grow a youtube channel<br/>How to grow your YouTube channel<br/>how to start a youtube channel for beginners<br/>how to start a youtube channel<br/>YouTube tips<br/>How to make viral videos<br/>how to start a youtube channel<br/>Make money on youtube<br/>YouTube views kaisa badhaye<br/>New YouTube channel kaisa grow karan<br/>youtube channel ko grow kaisa karan<br/><br/>#decordingyt<br/>#decordingythackedalgoritam<br/>#Howtogrowonyoutube<br/>#Youtube<br/>#growchannel<br/>#youtubechannel")
_top-4-beautiful-girl-doing-leg-exercises-pakkgp-fitnessgoals-fitnessgirl-fitnessjourney-fitnessfreak-fitam-foryou-gymlif.webp "Top 4 Beautiful girl doing leg exercises #pakkgp<br/>A popular video showcasing four beautiful women performing leg exercises has captured significant attention. Each of them demonstrates a variety of routines, including squats, lunges, leg presses, and deadlifts, highlighting the importance of lower body strength and fitness. The backdrop of a sleek, modern gym adds to the video's appeal. Their dedication and form not only inspire viewers to prioritize leg workouts but also emphasize the benefits of maintaining a toned and strong physique. This engaging visual serves as a motivating example for fitness enthusiasts looking to enhance their leg day routines.<br/>Buy products click the link <br/>https://amzn.to/4c3dXpj<br/>")
_leg-press-with-270kg-and-machine-starts-gym-fitness-legpress-gym-pakkgp-viral-sprots-workout-budybulder-girl.webp "Leg Press With 270KG And Machine Starts #gym #fitness #legpress #gym #pakkgp #viral #sprots #workout #budybulder #girl")
_most-important-muscle-on-the-front-of-the-shin.webp "Most Important Muscle On the Front of the Shin<br/>")
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