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Welcome to Kids Basic Education!<br/><br/>Our channel is dedicated to making education exciting and accessible for young minds. <br/><br/>We offer a wide range of educational videos designed to help kids learn and grow.<br/>Subscribe and hit the bell icon to never miss an update.<br/><br/> Subscribe Now and Let's Learn Together!

ABC Phonics Song | ABC Song | Toddlers learning Videos #abcsong

⏲ 1:52 👁 240K

Alphablocks

One Syllable Words | Phonics for Kids - Learn To Read | Alphablocks

⏲ 23 minutes 7 seconds 👁 20.3M

K5 Learning

Long Division | Easy Example

⏲ 56 seconds 👁 1K

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

Read Kids

PRACTICE READING SENTENCES PART 1 IMPROVE YOUR READING & VOCABULARY SKILLS

⏲ 4 minutes 40 seconds 👁 319.6K

K5 Learning

Multiplying 2 Digit Numbers in Columns | Example

⏲ 1 minute 👁 669

My Rules My Life - Rock Song - Abrar Nayeem

⏲ 4:0 👁 35K

Ms. Monica

Counting, Colors, Numbers - Children's Songs - Toddler Learning - Preschool Learning

⏲ 1 hour 11 minutes 12 seconds 👁 1.5M

Kiddos World TV

Does it Rhyme? Learn Rhyming Words for Kindergarten - Teaching the Rhyming Words

⏲ 18 minutes 17 seconds 👁 316.8K

A Beauty's Plan -EP 14 English SUB

A Beauty's Plan -EP 14 English SUB

⏲ 11:22 👁 30K

Ms. Monica

Monday - Preschool Circle Time - Learn at Home - Monday 3 23

⏲ 23 minutes 10 seconds 👁 8.3M

Ms. Monica

Learn Letters, Numbers, Shapes - Songs for Kids - Special PreschoolLesson - Circle Time Lesson

⏲ 56 minutes 2 seconds 👁 741.3K

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