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Electrical Dost

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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 \
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I don’t buy anymore Kinder Pinguin. I’ve discovered how to prepare it at home!<br/><br/>Ingredients:<br/>for the cake top:<br/>eggs - 6 pieces<br/>sugar - 250 g (8.8 oz)<br/>milk - 250 ml (8.45 fl oz)<br/>flour - 250 g (8.8 oz)<br/>baking powder - 20 g (0.7 oz)<br/>cocoa - 80 g (2.82 oz)<br/><br/>Tray size 32 x 42 cm (12 x 16.65 in)<br/>In the oven 180°C (356 °F) for 25 min<br/><br/>for the cream:<br/>cheese cream - 500 g (17.64 oz)<br/>milk - 100 ml (3.4 fl oz)<br/>vanilla sugar - 10 g (0.35 oz)<br/>lemon juice - 10 ml (0.34 fl oz)<br/>powdered sugar - 200 g (7 oz)<br/>whipped cream - 250 g (8.8 oz)<br/><br/>IN THE FRIDGE 30 MIN after the first layer of cream<br/><br/>for the glaze:<br/>dark chocolate - 240 g (8.5 oz)<br/>liquid cream - 150 ml (5.07 fl oz)<br/>butter - 50 g (1.76 oz)<br/><br/>IN THE MICROWAVE OVEN 2 MIN<br/>IN THE FRIDGE 30 MIN after the glaze in the middle<br/>IN THE FRIDGE 30 MIN after the second cake top<br/>IN THE FRIDGE 30 MIN after adding the final glaze
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