_seymour-duncan-78-model-humbucker-review.jpg "Seymour Duncan 78 Model Humbucker Review from bagla model node com Video Screenshot Preview")
GalleryPlay 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: 8:6
👁 View: 230K times
✓ Published: 02-Jun-2024
👁 View: 230K times
✓ Published: 02-Jun-2024
Description:
As Guitar World Tech Editor Paul Riario explains, “In the late ‘70s, Seymour Duncan – the man – was well-known as the guy to custom-wind pickups for some noteworthy guitarists who were looking to venture beyond what was available and create their own identifiable tone and sound.\
As Guitar World Tech Editor Paul Riario explains, “In the late ‘70s, Seymour Duncan – the man – was well-known as the guy to custom-wind pickups for some noteworthy guitarists who were looking to venture beyond what was available and create their own identifiable tone and sound.\
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.webp "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 \")
_python-django-career-opportunities-amp-learning-roadmap-talk-with-sumit-episode-16.webp "Learn with Sumit - LWS - Bangladesh")
⏲ 1 hour 12 minutes 35 seconds 👁 8.1K
_how-to-install-node-js-in-windows-10.webp "OnlineITtuts Tutorials")
_otd-in-space-june-1-endeavours-final-touchdown.webp "On June 1, 2011, NASA's space shuttle Endeavor touched down safely for the final time at the Kennedy Space Center in Florida after spending 299 days in space throughout the course of its 25 flights.<br/><br/>Endeavour was built as a replacement for the shuttle Challenger, which was lost in the 1986 accident that also killed its seven-astronaut crew. Congress authorized the construction of Endeavour in 1987, and the orbiter first blasted off in 1992. Its final launch occurred on May 16, 2011, sending a six-member crew into orbit on NASA's STS-134 mission. This last mission delivered the Express Logistics Carrier-3 and the $1.1 billion Alpha Magnetic Spectrometer to the International Space Station. Endeavour had many successful missions during its run, one of the most famous being the start of construction on the ISS. The 1998 mission took the U.S. Unity node, or the passageway that connects the working and living modules, to space and joined it to the Russian Zarya module, which was already in orbit. This attachment led to it becoming an international space station. Currently, Endeavour sits in the California Science Center in Los Angeles as a year-round exhibit.")
_3-node-js-installation-vs-code-editor-setup-node-js-tutorial-bangla.webp "Learn with Sumit - LWS - Bangladesh")
⏲ 28 minutes 23 seconds 👁 36.5K
_ancelotti-39a-role-model-for-every-young-coach39-terzic.webp "Edin Terzic shared his admiration for Real Madrid boss Carlo Ancelotti ahead of the Champions League final.")
_complete-crud-operation-with-nodejs-mongodb-react-express-124-mern-stack.webp "Dynamic Coding with Amit")
⏲ 2 hours 23 minutes 13 seconds 👁 27.1K
_124-how-to-create-a-free-ecommerce-website.webp "GrowBig - website for business")
⏲ 25 minutes 52 seconds 👁 61.9K
_session-17-deployment-of-machine-learning-models-in-open-ran-networks.jpg)
_python-django-career-opportunities-amp-learning-roadmap-talk-with-sumit-episode-16.jpg)
_how-to-install-node-js-in-windows-10.jpg)
_otd-in-space-june-1-endeavours-final-touchdown.jpg)
_3-node-js-installation-vs-code-editor-setup-node-js-tutorial-bangla.jpg)
_ancelotti-39a-role-model-for-every-young-coach39-terzic.jpg)
_complete-crud-operation-with-nodejs-mongodb-react-express-124-mern-stack.jpg)
_124-how-to-create-a-free-ecommerce-website.jpg)
![[+]](/images/menu.gif){kind=small}