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EarthX Website: https://earthxmedia.com/ <br/><br/>Don't become a crumpled cashew of misery. Go outside and get into your garden.<br/><br/>About Kill Your Lawn: <br/>Best friends Joey and Al set out across America to accomplish their mission: carry out a turficidal killing spree and leave a trail of pollinator-friendly, native plant gardens in their wake. It’s time to laugh our way to a lawn-less future!<br/> <br/>This clip comes from Season 1, Episode 4: \
Garden Wonders | Kill Your Lawn Clip | EarthX
⏲ 0:25 👁 750K
Byte My Bits
Plex RAM Transcoding, Better than an SSD?
⏲ 8 minutes 10 seconds 👁 56.5K
NASCompares
Mac Mini vs NAS for a Plex Media Server
⏲ 10 minutes 44 seconds 👁 29.3K
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 \
Session 17: Deployment of Machine Learning Models in Open RAN Networks
⏲ 4:9 👁 75K
Triple M
Ultimate Media Server For 2024 - Synolygy Video Station - Can This Replace Plex, Emby, Jellyfin?
⏲ 16 minutes 42 seconds 👁 7.6K
Grafick
You don't need JELLYFIN, EMBY, OR PLEX
⏲ 15 minutes 20 seconds 👁 187.8K
I and many others have NOT forgotten what Glitch Productions has done. They don't even care about the show that started it all for them!<br/><br/>A useful Glitch Productions drama thread: https://twitter.com/tsukyiio/status/1763128123078439125<br/><br/>Kevin's Response: https://twitter.com/glitch_prod/status/1764789931619340661<br/><br/>Neofeud Trailer: https://www.youtube.com/watch?v=VQAMJgs5euA<br/><br/>Logan Thirtyacre Does Not Deserve a Platform: https://www.youtube.com/watch?v=PO0Tmi7YaP0&t=2s&pp=ygUsTG9nYW4gVGhyaXR5YWNyZSBEb2VzIE5vdCBEZXNlcnZlIGEgUGxhdGZvcm0%3D<br/><br/>Brett McLaughlin: The Plush Community's Most SHAMELESS Creep: https://www.youtube.com/watch?v=DcHecnmBfjI&t=663s<br/><br/>Spider-Verse Artists Say Working on the Sequel Was ‘Death by a Thousand Paper Cuts’ : https://www.vulture.com/2023/06/spider-verse-animation-four-artists-on-making-the-sequel.html<br/><br/>Australian cooperatives: https://business.gov.au/planning/business-structures-and-types/business-structures/co-operative<br/><br/>My DeviantArt: https://auraterrorbird.deviantart.com/<br/>My Twitter: https://twitter.com/AuraTerrorbird<br/>Discord server link: https://discord.gg/GNfJHAUvyj<br/><br/>Donate!<br/>My Patreon:<br/>https://www.patreon.com/user?u=6333719<br/>PayPal link:<br/>paypal.me/GScarboro<br/>My SubscribeStar:<br/>https://www.subscribestar.com/auraterrorbird<br/>My Ko-fi:<br/>https://www.ko-fi.com/auraterrorbird<br/><br/>All of my socials: https://linktr.ee/auraterrorbird<br/><br/>Sources used: https://pastebin.com/NLZVnwUz<br/><br/>Made with Movavi Video Suite
Glitch Productions DISRESPECTED Meta Runner
⏲ 22:11 👁 110K
Shannon Morse
How To Upgrade Your Plex Server With A New NAS!
⏲ 11 minutes 56 seconds 👁 13.6K
Caroline Dunn
Top 5 differences between Plex and Plex Pass
⏲ 4 minutes 34 seconds 👁 30.9K
HOLY CRUD FINALLY BACK TO UPLOADING STUFF AGAIN<br/><br/>hey hi hello, here's a new remix thing! this time, i decided to make it in BeepBox instead of GarageBand just to spice it up a lil bit. also bc when i put this song into GarageBand it sounded doodoo and gave me a mini sensory overload sajhbjfebrb<br/><br/>this is probably my favorite remix i've made so far ngl! it also helps that i freaking love this theme (even though i've never played Diddy Kong Raing in my life lmao) so yeah. anyway uh hope you enjoy and see ya 50 years later when i upload my next thing lol<br/><br/>OG Song: https://www.youtube.com/watch?v=JeMyiHfz-xM<br/>OG MIDI made by Dave Phaneuf on VGMusic.com<br/>Arranged using Beepbox.co<br/>Video made using Kapwing<br/>Feel free to use this remix as long as credit is given!<br/><br/>shameless plugin for my discord server lmao https://discord.gg/nBdEqn7mUs :) /j<br/><br/>(NOTE: I am not affiliated with Nintendo in any way. This was made purely for fun. If, at any point, Nintendo wants me to take this down, i will do so.)
Pirate Lagoon (from Diddy Kong Racing) - Remix
⏲ 2:33 👁 55K
c't 3003
Du willst einen Homeserver? Starte hier!
⏲ 19 minutes 57 seconds 👁 25.6K
Simon's Reviews
My Mini PC makes for a great Plex Media Server!
⏲ 7 minutes 32 seconds 👁 13K
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