_social-media-for-real-estate-professionals-with-sunni-o39maley-preview-1.jpg "Social media for real estate professionals - with Sunni O'Maley from sunni o Video Screenshot Preview 1")
Gallery_social-media-for-real-estate-professionals-with-sunni-o39maley-preview-3.jpg "Social media for real estate professionals - with Sunni O'Maley from sunni o Video Screenshot Preview 3")
Gallery_social-media-for-real-estate-professionals-with-sunni-o39maley-preview-hqdefault.jpg "Social media for real estate professionals - with Sunni O'Maley from sunni o Video Screenshot Preview hqdefault")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
Jump To Video Parts
⏲ Duration: 8 minutes 26 seconds
👁 View: 181 times
Play Audio:👁 View: 181 times
Description:
Rachel Pedersen
Rachel Pedersen
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_social-media-for-real-estate-professionals-with-sunni-o39maley.webp "Rachel Pedersen")
_ary-news-11-pm-headlines-3rd-june-2024-124-fbr-started-closing-the-sims-of-filers-along-with-nonfilers.webp "#FBR #headlines #pmlngovt #ciphercase #supremecourt #imrankhan #pmshehbazsharif <br/><br/>Follow the ARY News channel on WhatsApp: https://bit.ly/46e5HzY<br/><br/>Subscribe to our channel and press the bell icon for latest news updates: http://bit.ly/3e0SwKP<br/><br/>ARY News is a leading Pakistani news channel that promises to bring you factual and timely international stories and stories about Pakistan, sports, entertainment, and business, amid others.<br/><br/>Official Facebook: https://www.fb.com/arynewsasia<br/><br/>Official Twitter: https://www.twitter.com/arynewsofficial<br/><br/>Official Instagram: https://instagram.com/arynewstv<br/><br/>Website: https://arynews.tv<br/><br/>Watch ARY NEWS LIVE: http://live.arynews.tv<br/><br/>Listen Live: http://live.arynews.tv/audio<br/><br/>Listen Top of the hour Headlines, Bulletins & Programs: https://soundcloud.com/arynewsofficial<br/>#ARYNews<br/><br/>ARY News Official YouTube Channel.<br/>For more videos, subscribe to our channel and for suggestions please use the comment section.")
ARY News 11 PM Headlines 3rd June 2024 | FBR started closing the sims of filers along with nonfilers
⏲ 6:10 👁 105K
_supreme-court-hearing-on-reserved-seats-124-hasnaat-malik-gives-inside-news.webp "#supremecourt #sunniittehadcouncil #reservedseats #qazifaezisa #meherbukhari <br/><br/>Supreme CourtHearing on Reserved Seats | Hasnaat Malik Gives Inside News<br/>")
_be-patient-o-sunni-124-by-shaykh-muqbil.webp "Islamic Online Studies")
_make-breakfast-with-me-mukbang-ft-myiaa-renee-124-sunni-o.webp "suniyah onyea'")
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.webp "Hello and welcome to Session 16 of our Open RAN series! Today, we're diving into the fascinating world of machine learning and its impact on Open RAN networks. We'll be focusing on how machine learning can boost Open RAN performance, specifically in predicting throughput based on MCS coding schemes. This is a crucial aspect for optimizing network performance and resource allocation in Open RAN environments.<br/><br/>1. Introduction to Machine Learning in Open RAN:<br/>Machine learning plays a pivotal role in enhancing Open RAN networks by enabling predictive capabilities, particularly in throughput optimization. By leveraging machine learning models, Open RAN can predict throughput based on the Modulation and Coding Scheme (MCS) coding scheme. Throughput prediction is critical for optimizing network performance and efficiently allocating resources, ensuring a seamless user experience.<br/><br/>2. Developing Machine Learning Models for Throughput Prediction:<br/>Developing a machine learning model for throughput prediction in Open RAN requires several key considerations. Firstly, the model needs to be trained on a dataset that includes throughput data and corresponding MCS values. The model should be designed to handle the complex relationships between these variables and predict throughput accurately. Mathematical functions and algorithms such as regression and neural networks are commonly used for this purpose, as they can effectively capture the underlying patterns in the data.<br/><br/>3. Deployment of Machine Learning Models in Open RAN:<br/>The deployment of machine learning models in Open RAN involves several steps. Once the model is trained and validated, it is deployed to the network where it operates in real-time. The model continuously monitors network conditions and predicts throughput based on incoming data. This information is then used to dynamically allocate network resources, optimizing performance and ensuring efficient operation.<br/><br/>4. Training Data Acquisition Process:<br/>Acquiring training data for the machine learning model involves collecting throughput data and corresponding MCS values from the network. This data is then cleaned and formatted to remove any inconsistencies or errors. The cleaned data is used to train the model, ensuring that it can accurately predict throughput in various network conditions. The training data acquisition process is crucial as it directly impacts the accuracy and reliability of the machine learning model.<br/><br/>Subscribe to \")
_shia-sunni.webp "TrueTube")
_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 \")
Related Video Searches
Back to Search
Search sunni o Desi Porn
Search sunni o MMS Porn
Search sunni o XXX Videos
Search sunni o HD Videos
Search sunni o XXX Posts
Search sunni o Photos
Search sunni o Leaks
Search sunni o Web Series
Search sunni o Pics
Search sunni o VIP XXX
_social-media-for-real-estate-professionals-with-sunni-o39maley.jpg)
_ary-news-11-pm-headlines-3rd-june-2024-124-fbr-started-closing-the-sims-of-filers-along-with-nonfilers.jpg)
_supreme-court-hearing-on-reserved-seats-124-hasnaat-malik-gives-inside-news.jpg)
_be-patient-o-sunni-124-by-shaykh-muqbil.jpg)
_make-breakfast-with-me-mukbang-ft-myiaa-renee-124-sunni-o.jpg)
_session-16-optimizing-open-ran-with-machine-learning-124-concept-overview.jpg)
_shia-sunni.jpg)
_session-14-introduction-to-supervised-machine-learning-in-open-ran.jpg)
![[+]](/images/menu.gif){kind=small}