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If you want to get a chunky, full-sounding guitar mix, there are a few tricks to get you there fast - and Skunk Anansie guitarist and ACM tutor Ace is here to show ’em to you.<br/><br/>In this video masterclass, filmed at London’s Metropolis studios, Ace covers techniques including chord approaches, choice of pickups and panning, all of which should get your guitars sounding massive.

Ace's Masterclasses Guitar Tracking Tips

⏲ 3:58 👁 95K

Chord Yoga

Chord Yoga: Roy Buchanan makes his Telecaster cry - \"Backyard Jam\" [Transcription] TABs

⏲ 15 seconds 👁 1.3K

Song Notes by David Pots

Easy access to PDF chord sheets with SEARCH!

⏲ 3 minutes 21 seconds 👁 3.7K

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

JustinGuitar

How to Read Guitar Chord Charts

⏲ 3 minutes 14 seconds 👁 333.8K

JSplash Studios

GtrLib Chords - Chord library app for guitar

⏲ 50 seconds 👁 21.5K

If you want to get a chunky, full-sounding guitar mix, there are a few tricks to get you there fast - and Skunk Anansie guitarist and ACM tutor Ace is here to show ’em to you.<br/><br/>In this video masterclass, filmed at London’s Metropolis studios, Ace covers techniques including chord approaches, choice of pickups and panning, all of which should get your guitars sounding massive.

Ace's Masterclasses Guitar Tracking Tips

⏲ 3:58 👁 90K

myproblemfixer

Guitar Chord Chart complete chords Free download

⏲ 24 seconds 👁 65K

Quist

Funk guitar chords improve your RHYTHM 🎸🔥

⏲ 26 seconds 👁 7.3K

Sydney Sweeney shares a look at her personal library! Get a peek at some of her favorite books, including the one she's adapting into a TV series with Halsey.

Sydney Sweeney | Shelf Portrait | Marie Claire

⏲ 3:17 👁 285K

Signals Music Studio

The SMART Way To Think About Chord Names and Labels [+FREE PDF] [MUSIC THEORY LESSON]

⏲ 18 minutes 34 seconds 👁 93.5K

The Donut Doctor

Neo soul chord run lesson

⏲ 1 minute 1 second 👁 814

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