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Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Algorithms Explained – minimax and alpha-beta pruning
⏲ 11 minutes 1 second 👁 533.8K
6. Search: Games, Minimax, and Alpha-Beta
⏲ 48 minutes 17 seconds 👁 223.4K
Cricket match live
⏲ 26:56 👁 85K
Minimax Algorithm in Artificial Intelligence | Minimax Algorithm Explained | AI Tutorial|Simplilearn
⏲ 7 minutes 1 second 👁 5.1K
The minimax algorithm in 3 minutes
⏲ 3 minutes 9 seconds 👁 3.7K
Session 14: Introduction to Supervised Machine Learning in Open RAN
⏲ 4:28 👁 40K
Minimax: How Computers Play Games
⏲ 14 minutes 37 seconds 👁 96.9K
Minimax Algorithm for Tic Tac Toe (Coding Challenge 154)
⏲ 26 minutes 33 seconds 👁 396.2K
Unveiling the Unexpected: Dailymotion Discove
⏲ 0:17 👁 35K
Minimax Algorithm in Game Playing | Artificial Intelligence
⏲ 12 minutes 29 seconds 👁 514.8K
Min Max Algorithm 🔥
⏲ 12 minutes 41 seconds 👁 5.6K
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_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we'll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.<br/><br/>Deployment Example:<br/>Consider a scenario where an Open RAN operator wants to optimize resource allocation by predicting network congestion. They decide to deploy a machine learning model to predict congestion based on historical traffic data and network conditions.<br/><br/>Deployment Steps:<br/><br/>1. Data Collection and Preprocessing:<br/>The operator collects historical traffic data, including throughput, latency, and user traffic patterns.<br/>They preprocess the data to remove outliers and normalize features.<br/><br/>2. Model Development:<br/>Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.<br/>They use a development environment with libraries like TensorFlow or scikit-learn for model development.<br/><br/>3. Offline Model Training and Validation (Loop 1):<br/>The model is trained on historical data using algorithms like linear regression or decision trees.<br/>Validation is done using a separate dataset to ensure the model's accuracy.<br/><br/>4. Online Model Deployment and Monitoring (Loop 2):<br/>Once validated, the model is deployed in the network's edge servers or cloud infrastructure.<br/>Real-time network data, such as current traffic conditions, is fed into the model for predictions.<br/>Model performance is monitored using metrics like prediction accuracy and latency.<br/><br/>5. Closed-Loop Automation (Loop 3):<br/>The model's predictions are used by the network's orchestration and automation tools to dynamically allocate resources.<br/>For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.<br/><br/>Subscribe to \")
_algorithms-explained-minimax-and-alpha-beta-pruning.webp "Sebastian Lague")
_6-search-games-minimax-and-alpha-beta.webp "MIT OpenCourseWare")
_cricket-match-live.webp "Live cricket match <br/>Batting match<br/>ipl match<br/>today ipl match<br/>today match<br/>live cricket match<br/>ipl live match<br/>india match<br/>world cup match<br/>india pakistan match<br/>yesterday ipl match<br/>today world cup match<br/>match app<br/>match attax<br/>match attax soccer cards<br/>match attax 23/24<br/>match algorithm<br/>match a font<br/>match app download<br/>match asl<br/>argentina next match<br/>al nassr match<br/>argentina match<br/>a match into water lyrics<br/>australia india match<br/>a match into water<br/>a match into water meaning<br/>a perfect match<br/>match box<br/>match book<br/>matchbox cars<br/>match bfdi<br/>matchboxes<br/>match buddy pickleball trainer<br/>match bfb<br/>brazil next match<br/>barcelona match<br/>brazil match<br/>best buy price match<br/>barcelona next match<br/>bangladesh next match<br/>bangladesh match<br/>bharat pakistan match<br/>bayern munich match<br/>bangladesh football match<br/>match cut<br/>match cloche<br/>match calendar 2024<br/>match case python<br/>match customer service<br/>match calendar<br/>match.com app<br/>match charter school<br/>match.com reviews<br/>cricket match<br/>chelsea next match<br/>cricket live match<br/>chelsea match today<br/>csk next match<br/>csk match<br/>cast of perfect match<br/>cricket match schedule<br/>kal ka match kaun jita<br/>cricket match india<br/>match day 2024<br/>match day<br/>match dating app<br/>match dating<br/>match day 2025<br/>match definition<br/>match day 2023<br/>match day medical school<br/>match data 2024<br/>match day gifts<br/>dell match play<br/>does walmart price match<br/>daraz live match<br/>does target price match<br/>does best buy price match<br/>dell match play 2023<br/>does home depot price match<br/>does amazon price match<br/>dom perfect match<br/>dom and georgia perfect match<br/>match excel<br/>match each term with its definition<br/>match eyewear<br/>match excel function<br/>match each amendment with its purpose<br/>match each hormone with its action<br/>match each protein with the appropriate filament<br/>match en direct tv<br/>everything match or matches<br/>match or match to<br/>excel index match<br/>excel match<br/>england match<br/>epl match<br/>el clasico match today<br/>england next match<br/>england vs india today match<br/>england india test match<br/>england india match<br/>excel index match formula<br/>match function excel<br/>match formula excel<br/>match formula<br/>match font<br/>match for hope<br/>match fire<br/>match fixing<br/>football match today<br/>foundation match<br/>francesca perfect match<br/>final match<br/>final ipl match<br/>final match of ipl 2023<br/>football match today live score<br/>football match india<br/>final match world cup<br/>first match of ipl 2024<br/>match game cast<br/>match group stock<br/>match girls strike<br/>match group careers<br/>match game 77 cast<br/>match google sheets<br/>georgia perfect match<br/>ghana match today<br/>grudge match<br/>gemini best match<br/>game set match<br/>golf match play<br/>gt last match scorecard<br/>georgia and dom perfect match<br/>germany next match<br/>match holder<br/>match holder with striker<br/>match health<br/>match history league<br/>match highlights<br/>match horoscope<br/>march holidays<br/>match health careers<br/>how won yesterday ipl match<br/>h matches tarkov<br/>how to live cricket match<br/>how much is mix and match mcdo<br/>how much is mix and match jollibee<br/>how ipl match schedule<br/>how much ipl match<br/>how match today<br/>how much score today ipl match<br/>how much time today match<br/>match in spanish<br/>match into water")
_minimax-algorithm-in-artificial-intelligence-124-minimax-algorithm-explained-124-ai-tutorial124simplilearn.webp "Simplilearn")
_the-minimax-algorithm-in-3-minutes.webp "a bit of intelligence")
_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 \")
_minimax-how-computers-play-games.webp "Spanning Tree")
_minimax-algorithm-for-tic-tac-toe-coding-challenge-154.webp "The Coding Train")
_unveiling-the-unexpected-dailymotion-discove.webp "This channel isn't for the faint of heart (or the easily bored). Here, you'll find hidden gems, thought-provoking content, and stories that challenge the norm. We delve into the unseen, explore the unexpected, and bring you unique perspectives you won't find anywhere else.<br/><br/>So, if you're ready to break free from the algorithm and embark on a journe")
_minimax-algorithm-in-game-playing-124-artificial-intelligence.webp "Gate Smashers")
_min-max-algorithm.webp "Perfect Computer Engineer")
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