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The draft amendments to the Medical Act 1971 have been completed to address issues related to the parallel pathway programme, said Health Minister Datuk Seri Dr Dzulkefly Ahmad after officiating the Air Putih health clinic in Penang on Friday (June 7).<br/><br/>Read more at https://shorturl.at/teRgp<br/><br/>WATCH MORE: https://thestartv.com/c/news<br/>SUBSCRIBE: https://cutt.ly/TheStar<br/>LIKE: https://fb.com/TheStarOnline<br/>

Draft amendments to Medical Act ready for stakeholders' input before Cabinet review, says Dzulkefly

⏲ 2:41 👁 1.8M

Giraffe Academy

Input & Forms | HTML | Tutorial 14

⏲ 9 minutes 9 seconds 👁 39K

Software Developer Diaries

Why the HTML number input is the worst

⏲ 6 minutes 16 seconds 👁 496

President Marcos urged local government executives to listen to the voice of the youth as they may have inputs that veteran officials might have overlooked, especially regarding technology.<br/><br/>READ: https://mb.com.ph/2024/6/5/marcos-we-must-listen-to-the-youth<br/><br/>Subscribe to the Manila Bulletin Online channel! - https://www.youtube.com/TheManilaBulletin<br/><br/>Visit our website at http://mb.com.ph<br/>Facebook: https://www.facebook.com/manilabulletin <br/>Twitter: https://www.twitter.com/manila_bulletin<br/>Instagram: https://instagram.com/manilabulletin<br/>Tiktok: https://www.tiktok.com/@manilabulletin<br/><br/>#ManilaBulletinOnline<br/>#ManilaBulletin<br/>#LatestNews

Marcos: We must listen to the youth

⏲ 1:51 👁 2.6M

Adam Khoury

HTML 5 tutorial Required Form Field Input Attribute Example

⏲ 1 minute 58 seconds 👁 15.9K

Dave Gray

HTML Forms and Inputs | HTML5 Tutorial for Beginners

⏲ 45 minutes 19 seconds 👁 17.3K

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

dcode

HTML Tutorial - The 'for' attribute on labels and input fields

⏲ 2 minutes 30 seconds 👁 14.5K

Code With Neha

Form Validation Using Javascript || Javascript Tutorial || Code With Neha

⏲ 8 minutes 30 seconds 👁 152

Here is a simple artificial neural network. There are 2 nodes on the input screen, 2 nodes on the hidden screen, and 1 node on the output screen. Each node is connected to each other via connection lines. In this series, we will calculate the output value of the ANN when certain input values are imposed on the input nodes.<br/><br/>#NeuralNetwork #ArtificialIntelligence

Calculating Output Values Artificial Neural Network

⏲ 5:17 👁 25K

James Q Quick

HTML File Uploads in 5 Minutes (Plus Some JavaScript Features)

⏲ 12 minutes 44 seconds 👁 8.2K

Dani Krossing

28 | HOW TO CREATE & STYLE FORMS IN HTML | 2023 | Learn HTML and CSS Full Course for Beginners

⏲ 38 minutes 54 seconds 👁 11.7K

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