Hi ! Another great time in CodePalousa. I hope I can see my friends IRL on 2022. This time, I shared some insights about Machine Learning on devices, really tiny devices. As usual now it's time to share the resources Slides Source Code Source Code is available here. Recording Coming soon !
Hi ! I had a great time early in the day with some my friends from Europe. As usual, time for slides and code: Slides Code https://github.com/elbruno/events/tree/main/2021%2002%2023%20MVP%20Fussion%20MLNet Resources Get started at http://dot.net/mlTry the samples at http://aka.ms/mlnetsamplesRead the docs at http://aka.ms/mlnetdocsRequest features or contribute at http://aka.ms/mlnetGet help for going into production https://aka.ms/mlnetprodML.NET Model Builder, Approachable machine … Continue reading #Event – “ML.Net and AutoML” at the MVP Fusion and Friends 2021 . Session Resources
Hi ! This started to be my annual tradition: Global AI Bootcamp is the last event of the year! And this year, we had a set of amazing session planned with the following topics: Introduction to AI and Cognitive Services for Developers and Information WorkersUnderstanding Autonomous systems, Machine Teaching and Bonsai PlatformKnowledge Mining and MLOps … Continue reading #Event – Global AI Bootcamp Toronto on Dec 12 🤖🤖🤖 @GlobAICommunity
Hi ! Amazing session yesterday with my friends from ConoSurTech, Fernando, Ivana y Pablo. We had a great session with a high level overview around Azure Machine Learning, as part of the "Diplomado de AI Fundamentals 2020" Diplomado de AI Fundamentals 2020 El diplomado consiste en clases online dictadas a partir del 20 de Octubre … Continue reading #Event – Resources used on the Azure AI Fundamentals, intro to #AzureML @conosurtech
Hi ! Another huge and amazing events from my friends at the @netcoreconf, perfect excuse to talk about python, machine learning, computer vision and more. This one was also tricky, no slides, just code during 50 min so here are some related resources. Code The code used during the session is available here: https://github.com/elbruno/events/tree/main/2020%2010%2003%20Netcoreconf%20Virtual Session … Continue reading #Event – Resources used on my session for the @netcoreconf
Hi ! Great session yesterday with Matthew and the Central Ohio .NET Developer's Group (CONDG). And the excuse was to talk about Machine Learning .Net. As usual, now it's time for slides and code Slides Code The code used during the session is available here: https://github.com/elbruno/events/tree/main/2020%2009%2024%20CONDG%20MLNet Session Recording (I'll update this block when the recording … Continue reading #Event – Resources used on “Getting Started with Machine Learning .NET” for the Central Ohio .NET Developer’s Group (@CONDG)
Hi ! Yesterday I wrote about the new options that we have to train models in ML.Net Model Builder. The main new is that we have the option to use our GPU to train models. Quick recap, Model Builder supports 3 specific training environments Local (CPU)Local (GPU)Azure Yesterday I tested train a small image recognition … Continue reading #VS2019 – ML.NET Model Builder GPU vs CPU test: 4 times faster !
Hi ! Machine Learning.Net (ML.Net) includes a visual / step-by-step option for Auto ML: Model Builder. Even if ML.Net is based on .Net Core, and we can use it on Windows, Linux or Mac; Model Builder is only available for Visual Studio 2019. And, in the latest preview version, Model Builder supports 3 specific training … Continue reading #VS2019 – ML.NET Model Builder GPU Support, awesome !
Hi ! During the past days, you may see this images about how a new ML model can start with a pixelated image of a face, and .. let me share the official project description: Given a low-resolution input image, Face Depixelizer searches the outputs of a generative model (here, StyleGAN) for high-resolution images that … Continue reading #Opinion – Face-Depixelizer , a sad sample of how ML illustrates preexisting bias
Buenas! Hoy tenemos la suerte de hablar con Miguel Egea (@miguelEgea) y Juan Carlos Quijano (@jc_quijano) sobre Machine Learning, y datos, muchos datos. Miguel es uno de los principales referentes en lo que a datos se refiere, así que tener la oportunidad de hablar con el de varios temas, es todo un privilegio! Speakers Miguel … Continue reading #Podcast – NTN 55 – Machine Learning y datos, muchos datos con Miguel Egea @miguelEgea @jc_quijano,