The minimax algorithm in 3 minutes from minimax algorithm 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!)

Jump To Video Parts

Jump To the minimax algorithm in 3 minutes preview 1 Video PartsJump To the minimax algorithm in 3 minutes preview 3 Video PartsJump To the minimax algorithm in 3 minutes preview hqdefault Video Parts

⏲ Duration: 3 minutes 9 seconds
👁 View: 3.7K times
Play Audio:

Open HD Video
Open MP4 Video
Download HD Video
Download MP4 Video

Open MP3 Audio
Open WEBM Audio
Download MP3 Audio
Download WEBM Audio
Description:
a bit of intelligence

Share with your friends:

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

Related Videos

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 \
⏲ 4:9 👁 75K
Sebastian Lague
⏲ 11 minutes 1 second 👁 533.8K
MIT OpenCourseWare
⏲ 48 minutes 17 seconds 👁 223.4K
Simplilearn
⏲ 7 minutes 1 second 👁 5.1K
a bit of intelligence
⏲ 3 minutes 9 seconds 👁 3.7K
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 \
⏲ 4:28 👁 40K
Spanning Tree
⏲ 14 minutes 37 seconds 👁 96.9K

Related Video Searches

Back to Search

«Back to minimax algorithm Videos

Search Videos

Recent Searches

tare mon amar surer sathi | jumia cote d39ivoire electromenager | nasir hossain | hridoy khan habib mp3 song bangladeshi singh video sany leon inc | bangla poto com sakib and opu vdo | zc w ww images angla baron gupta saneangla movie chade angla movie hanimonww com | শহরের কল | 2020 png | mitu photo photos | marup movi | barriers renerd | freestyle motor xiiel | lang hd | mk asante net worth | skype for business login problem | x8oh1z8 | hercules setup utility by hw | classic short stories free | সিলেটের এমসি কলেজের মেয়েদের ভিডিও | ajay devgan recent film | x8n77z8 | besh koresi prem koresi kolkata movie song | instagram com moo | ride roma | free all indian | ranger mp3 song bengal | alparslan urdu dubbed episode 2 | is academy sports open | ptv darama serial yeh chahatein yeh ranchnshin ki last episod | oml5dykwe4k | aur bol bachan movies video new full songs mp3 2015ndi mp3 song 2015adesh new naika mahi video com contactform inc cfg contactform upload cfg contactform | ময়ূরীর movie mannagla com | কম বয়সী মেয়ের সেক্বনুর ফটো বাংলাদে° ভিডিও দেসিংলা ভিডিও com com bd xdf | cot ajalu xvideos dwonlod com | tanjib saroar mp3 song megomilon | কলকাতা নায়কি শ্রাবন্তী খোলদের new video video sort hdsh vs india odi সরাসরি চাই্তীর সরাসরিচোদাচুদি photos video downlod www videos | lalata | take it easy | homemade free energy genaretor | hollywood films | posh ft imran | peppa best friend nick jr uk | mishor nil nod video | video prova and পিকচার actress blogspot রাতে মেয়েদের চ¿ | bondhu tora acid jani tara jab mp3 | বড় বুদ¦ | java book | oalwdpax8jy | alice elizabeth | x8natsy | aka jana diya tola mp3 monir jahangir manus rongila re koto ronggo | all bangla full film | jurassic world training raptors | matt king age | star jalsha komolika photola new 2015 song best mp3 | bd dev movie song | www bangla veodo | سم ألله | si title mp3 song | kobirsumon আলমগীর এর ভিডিওÂ | baba jai gurudev ji maharaj テツヲツィ video | na jani chokher jole ki je selim inc hp com base radar | sara sara by | oporadhi songs | angry german kid elevater | hiss rebirth of destroy ep 157 | kokhono din kokhono raat swati ganguly | shinny flower deli |