ABC Song | ABC Phonics Song | Toddlers Learning Video Songs | Alphabet Song | Nursery Rhymes from learn buganda Watch Video

Preview(s):

Play 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!)
⏲ Duration: 2:4
👁 View: 205K times
✓ Published: 03-Jun-2024
Open HD Video
Open MP4 Video
Download HD Video
Download MP4 Video
Description:
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!

Share with your friends:

Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest

Related Videos

THE LIFE AFRICA
⏲ 14 minutes 5 seconds 👁 8.3K
Welcome back to our journey through the world of Open RAN and machine learning. In this session, In this session, we&#39;ll explore the deployment of machine learning models in Open RAN networks, focusing on practical examples and deployment strategies.&#60;br/&#62;&#60;br/&#62;Deployment Example:&#60;br/&#62;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.&#60;br/&#62;&#60;br/&#62;Deployment Steps:&#60;br/&#62;&#60;br/&#62;1. Data Collection and Preprocessing:&#60;br/&#62;The operator collects historical traffic data, including throughput, latency, and user traffic patterns.&#60;br/&#62;They preprocess the data to remove outliers and normalize features.&#60;br/&#62;&#60;br/&#62;2. Model Development:&#60;br/&#62;Data scientists develop a machine learning model, such as a regression model, to predict congestion based on the collected data.&#60;br/&#62;They use a development environment with libraries like TensorFlow or scikit-learn for model development.&#60;br/&#62;&#60;br/&#62;3. Offline Model Training and Validation (Loop 1):&#60;br/&#62;The model is trained on historical data using algorithms like linear regression or decision trees.&#60;br/&#62;Validation is done using a separate dataset to ensure the model&#39;s accuracy.&#60;br/&#62;&#60;br/&#62;4. Online Model Deployment and Monitoring (Loop 2):&#60;br/&#62;Once validated, the model is deployed in the network&#39;s edge servers or cloud infrastructure.&#60;br/&#62;Real-time network data, such as current traffic conditions, is fed into the model for predictions.&#60;br/&#62;Model performance is monitored using metrics like prediction accuracy and latency.&#60;br/&#62;&#60;br/&#62;5. Closed-Loop Automation (Loop 3):&#60;br/&#62;The model&#39;s predictions are used by the network&#39;s orchestration and automation tools to dynamically allocate resources.&#60;br/&#62;For example, if congestion is predicted in a certain area, the network can allocate additional resources or reroute traffic to avoid congestion.&#60;br/&#62;&#60;br/&#62;Subscribe to &#92;
⏲ 4:9 👁 75K
Learn Luganda
⏲ 5 minutes 13 seconds 👁 119.9K
HOT NEWS UG
⏲ 36 minutes 39 seconds 👁 555
The African Script
⏲ 8 minutes 36 seconds 👁 1.2M
UGANDA EYENKYA ™
⏲ 30 minutes 15 seconds 👁 1.1K
Welcome to Session 14 of our Open RAN series! In this session, we&#39;ll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.&#60;br/&#62;&#60;br/&#62;&#60;br/&#62;Understanding Supervised Machine Learning:&#60;br/&#62;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.&#60;br/&#62;&#60;br/&#62;Types of Supervised Machine Learning:&#60;br/&#62;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.&#60;br/&#62;&#60;br/&#62;Binary and Multi-Class Classification:&#60;br/&#62;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).&#60;br/&#62;&#60;br/&#62;Regression in Machine Learning:&#60;br/&#62;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.&#60;br/&#62;&#60;br/&#62;Subscribe to &#92;
⏲ 4:28 👁 40K
Mukwano Gwabato
⏲ 1 minute 33 seconds 👁 123.5K

Related Video Searches

Back to Search

«Back to learn buganda Videos

Search Videos

Recent Searches

bhaj le man tu band india | চà§à§‚াচà§à¦¦à¦¿à¦° ভিডিও | বাস খেলা | x8zxpyq | sathi re khuji tomay shakib khan and ap video download | 4fl | সাবালি | ore priya by rahat fateh ali khanw cd com | oliver 550 tractor for sale | 5qouoppm26i | 0 w | x8o42cw | bangla movie song akash choa hiya | ছানিলিওনের ফটোহিট গান 2015 | stomach sitting challenge indian fun girl | download apps for windows 10 mobile | মুসফিক আর ফারহানের ডাউলোড | vdm6929537 | dai foska | 9l4lplt jpg | ray texture pack palladium | ইউসুফ জুলেখা পর্ব ৮০ | bus horan | x8zi8y2 | angla school girls foto video | dev koyal saxy | g2eol9olqnu | dear style | diablo 4 all cinematics full movie | x8zuuwo | r5 3600xt vs 3600x | ex www op ষ আর পশৠর চৠদাচৠmirza photos comngla chat carton bitter golpo নায়িকা পপি vo | ore pordeshi runa laila | မြန်မာရုပ်ရှင်မင်းသမီးများ၏လို | my little pony adventures 2009 | মামির সাথে নিঘয়ে বাংলা গল্পা ছটি | indian girl na | tamil songs mp3 download new | পরিমবি | lolitasex | k মাহীর চà§à¦¦à¦¾ | hindi cartoon dadi maa ki kahaniyan video 3gp | ponum xxnx con photos video | gay on gay | x9025aq | ami tomar oi hate hat rekhe by habib chuye dile mon movie songvese mp3 song from kiron malabangla com www banglaxxx | honeymoon hotcom gp anger mun | smooth criminal alien ant farm release | টাকা হলে সবি ফাকা | vdm20089652 | fs1z norxks | download motu patlu 3gp | f14 aircraft | rj sabbir mp3 sinking mc | hot be songs | vteuo | chut ki video | vpn proxy websites that allows videos | znnnzzz | be ready by edward olara | faktura 2015 | x8yh3ag | tamil heroyin com | همیشه سکس | hcpcs code e0249 | محجبه ممه | ভারত মহিলা কলেজের মেয়েদের new 3gp video বুনি ¦ | thakoma vide | wait quotes image | wznsrowjkz4 | band folk বর | mase laime amunah dinla album santali | first time video | images of quotes about life changes | ayesha akram minar e pakistan | ultimate fun tv | dasxxxxxx | seetha fakes xossip | www ba চো |