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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 \

Session 14: Introduction to Supervised Machine Learning in Open RAN

⏲ 4:28 👁 40K

MrStillSmiling

Ran - A Film in Three Minutes

⏲ 3 minutes 1 second 👁 18.1K

Cheuk Kong Hee

Except from Ran (1985)

⏲ 2 minutes 39 seconds 👁 25.3K

#MoscowMission Sets Overseas Release Date! <br/>A hardcore heist that took place in the 1990s.<br/>a life-and-death showdown between law enforcement and criminals.⚔️<br/>October 5th, Let's Uncover the Conspiracy Together in Theatres Overseas!\

Moscow Mission International Trailer｜《莫斯科行动》国际预告

⏲ 1:22 👁 90K

Ran Arrow Break Scene

⏲ 1 minute 8 seconds 👁 15.8K

Top 10

Top 10 Sinhala Songs | Popular Film Songs from 70s | Ananga Ran Hee | Jothipala, Milton, Angeline

⏲ 1 hour 15 minutes 13 seconds 👁 14.3K

What is a phrasal verb? Phrasal verbs with Georgie<br/>A phrasal verb is a combination of a verb and one or more particles (typically prepositions or adverbs) that together create a meaning different from the original verb alone. The particles modify the meaning of the verb, often resulting in idiomatic expressions. Phrasal verbs are common in English and can be tricky for learners due to their sometimes unpredictable meanings.<br/><br/>**Examples of Phrasal Verbs:**<br/><br/>1. **Break down**: <br/> - Literal: \

What_is_a_phrasal_verb__Phrasal_verbs_with_Georgie

⏲ 2:46 👁 25K

WatchMojo.com

Top 10 Akira Kurosawa Films

⏲ 12 minutes 30 seconds 👁 985.9K

悉尼奶爸Sydney DaDDy 雪梨奶爸

疯狂的走线①：卷入黑帮火并，子弹擦着我的脑袋飞了过去

⏲ 20 minutes 11 seconds 👁 9.8K

Lisa Marie Presley posthumous memoir to be published this year. Daughter Riley Keough continued writing the story following her mother's passing in January 2023. The book, which is titled From Here to the Great Unknown , will tell stories of Presley's childhood, growing up at Graceland, the death of her father Elvis, her relationships with Danny Keough and Michael Jackson, and her struggle with addiction. The book is set to release on October 15 and will be available in audiobook format narrated by Keough herself. Cillian Murphy to reprise role in Netflix Peaky Blinders movie. The historical drama, which ran for 6 seasons before concluding in 2022, is returning to the screen as a Netflix film. Murphy, who starred in all 6 seasons of the original series will return as his character Tommy Shelby. Netflix revealed his return in a social media post featuring a photo of the script and a quote from the actor, writing 'It is very gratifying to be recollaborating with Steven Knight and Tom Harper on the film version of Peaky Blinders. This is one for the fans.' No further casting or plot details have been revealed at this time. Halsey reveals battle with chronic illness in social media post. The 29-year-old singer shared her recent struggles with chronic illness on Instagram, also revealing the new music it has inspired. She concurrently released new song 'The End' which alludes to the personal and ongoing battle with her own health. While not directly disclosing her diagnosis, Halsey tagged the Lupus Research Alliance and the Leukemia & Lymphoma Society in her post. In today's birthday news: singer Richard Butler turns 68, actor Jeff Garlin 62, actor Ron Livingston 57, singer Brian McKnight 55, actor Mark Wahlberg 53, actress Liza Weil 47, actor Nick Kroll 46, and musician Pete Wentz 45.

Lisa Marie Presley Memoir Coming This Year, Peaky Blinders Returning as Netflix Film Starring Cillian Murphy, Singer Halsey Shares Battle with Chronic Illness

⏲ 1:0 👁 25K

She was drugged but ran away and kissed a random man and this man changed her destiny

She was drugged but ran away and kissed a random man and this man changed her destiny

⏲ 10:14 👁 90K

Mr. and Mrs. Gambler is a 2012 Hong Kong romantic comedy film written, produced and directed by Wong Jing (王晶) and starring Chapman To Man-chak (杜汶澤) and Fiona Sit Hoi-kei (薛凱琪).<br/><br/>Manfred Shu (Chapman) and Flora Cheung (Fiona) are compulsive gamblers who can gamble on anything 24 hours a day, seven days a week. They meet at a casino in Macau, where they both suffer heavy losses and are held hostage by loan sharks. During their hostage ordeal, they start to have passion for each other. When they meet in Hong Kong again, they finally fall in love and decide to get married. After they marry, their luck turns, and they make great progress in both their career and relationship. They soon give birth to their daughter. With the assistance of a charming producer, Michelle Siu (胡然 Michelle Hu Ran), Manfred gets the chance to take a leading role in a new movie. The Casino Boss, Sam Wong (伍允龙 Philip Ng Wan-lung), invites Flora to work for him to chase away the con men. In fact, Michelle and Sam are ex-lovers. Both of them are now attracted by Manfred and Flora’s unique characters and go for them in full strength. Manfred and Flora cannot resist the temptation and decide to get divorced. However, both of them would like to obtain their daughter’s custody rights.

爛賭夫鬥爛賭妻Mr. & Mrs. Gambler2012

⏲ 1:43:16 👁 205K

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