Tag: MLNet

#VS2019 – Let’s do some image classification with #MLNET Model Builder! (AKA, let’s create an image classifier model without a line of code)

Hi! I’m getting ready for my last event of the year, and I just realize that in the latest update of Model Builder, we have the chance to build our own Image Classifier scenario. Let’s start with the official Model Builder definition (see references): ML.NET Model Builder provides an easy to understand visual interface to…… Continue reading #VS2019 – Let’s do some image classification with #MLNET Model Builder! (AKA, let’s create an image classifier model without a line of code)

#Event – #GlobalAIBootcamp, thanks to @AvanadeInc and @MicrosoftCanada, here are some resources, feedback and more !

Hi ! The Global AI Bootcamp 2019 was a huge success, just take a look at this photo during the keynote And remember, this was the weather during the day, cold and snow. Even so, we had ~200 attendees at the Microsoft Offices in Mississauga. Speakers and Volunteers We had an amazing set of volunteers…… Continue reading #Event – #GlobalAIBootcamp, thanks to @AvanadeInc and @MicrosoftCanada, here are some resources, feedback and more !

#Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor

Hi! My 1st session at Microsoft Reactor and it was amazing. We had engaging conversations around Machine Learning and Anomaly Detection, and as I promised here are the resources used. Building an Anomaly Detector System with a few or no lines of code More Information https://www.microsoftevents.com/profile/form/index.cfm?PKformID=0x8330114abcd Slides Source Code https://github.com/elbruno/events/tree/master/2019%2011%2021%20Anomaly%20Detections%20Reactor Reference Links General Introduction to…… Continue reading #Event – Resources used during my session “Building an Anomaly Detector System with a few or no lines of code” @MsftReactor

#Event – 2×1 on #AI: Anomaly Detection at Microsoft Reactor and ML.Net @MississaugaNetU

Photo by Sachin C Nair on Pexels.com Hi! Quick post to remember about a couple of events where I’ll participate. 1st, this Thursday at Microsoft Reactor in Toronto. Building an Anomaly Detector System with a few or no lines of code November 21, 2019 | 5:00PM – 7:00PM Reactor TorontoMaRS Centre, Heritage Building 101 College…… Continue reading #Event – 2×1 on #AI: Anomaly Detection at Microsoft Reactor and ML.Net @MississaugaNetU

#Event – Resources used during the #GlobalAINight at @MarsDD

Hi! It was a placer to share some amazing time with the Metro Toronto .Net User Group. Last night was also a special one, we hosted the event at the amazing @MarsDD it was great to have a huge group interested in Artificial Intelligence. As usual, it’s time to share the resources of the event…… Continue reading #Event – Resources used during the #GlobalAINight at @MarsDD

#RaspberryPi – How to install #DotNetCore in a #RaspberryPi4 and test with #HelloWorld (of course!)

Hi! During the next couple of months, I’ll be sharing some amazing experiences around AI. Some of these experiences includes IoT devices like a Raspberry Pi, and of course some Machine Learning.Net (ML.Net). Because ML.Net is built with .Net Core, it makes sense to share the 5 simple steps you need to do to install…… Continue reading #RaspberryPi – How to install #DotNetCore in a #RaspberryPi4 and test with #HelloWorld (of course!)

#NetUniversity – Introducción a Machine Learning (Curso Online)

Buenas! Existen muchos recursos para comenzar a aprender Machine Learning. Sin embargo, suele ser complicado elegir uno que realmente se adapte a nuestro perfil, y que nos permita aprender de forma coherente y concisa los principios de Machine Learning. Si trabajas con tecnologías Microsoft o eres un programador .Net, este curso es para ti. Durante…… Continue reading #NetUniversity – Introducción a Machine Learning (Curso Online)

#Training – @_NetUniversity, excelentes cursos online de Azure, .Net, y más. Y en las próximas semanas terminaré uno de #MachineLearning para programadores .Net!

Buenas! Hoy toca volver a escribir en Español, y es para presentar una plataforma excelente de aprendizaje: Net-University Programación, bases de datos, .Net, JavaScript, Azure, Windows, Linux y más. En Net University te brindamos entrenamiento de alta calidad con profesionales experimentados, al mejor costo / beneficio que puedas encontrar.Net University Actualmente hay 3 cursos disponibles…… Continue reading #Training – @_NetUniversity, excelentes cursos online de Azure, .Net, y más. Y en las próximas semanas terminaré uno de #MachineLearning para programadores .Net!

#Event – Resources used on the Visual Studio 2019 Launch Party event on [Machine Learning.Net] #VS2019 #MLNET

Hi! Another post-event post, this time with a big thanks to the Mississauga .Net User Group who organized the Visual Studio 2019 Launch Party. I was part of the team sharing some demos, and I mostly speak about Machine Learning.Net. As usual, now it’s time to share slides, code and more. Source Code in GitHub…… Continue reading #Event – Resources used on the Visual Studio 2019 Launch Party event on [Machine Learning.Net] #VS2019 #MLNET

#MLNET – How to use the AutoML API in a Console App

Hi ! In my last posts I was testing AutoML using the Model Builder inside Visual Studio and also the CLI commands. There is also an API to use this in a .Net app, and the usage is very simple. It all start, of course, adding the [Microsoft.ML.AutoML] nuget package I read the documentation in…… Continue reading #MLNET – How to use the AutoML API in a Console App