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#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… — read more
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#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… — read more
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#Event – 2×1 on #AI: Anomaly Detection at Microsoft Reactor and ML.Net @MississaugaNetU
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 Street, Suite 120Toronto Ontario M5G-1L7Canada More Information… — read more
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#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… — read more
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#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… — read more
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#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… — read more
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#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… — read more
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#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… — read more
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#MLNET – Are you a Command line user? MLNet CLI is great for some AutoML train tasks!
Hi ! Yesterday I wrote about how easy is to use Model Builder to create Machine Learning models directly from data inside Visual Studio. If you prefer to work with command line interfaces, Machine Learning.Net AutoML also have a CLI interface and with a couple of commands, you can get some amazing results. So, for… — read more
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#MLNET – Testing Machine Learning Model Builder preview. It’s so cool !
Hi ! Last week Machine Learning.Net 1.0 was officially announced during Build 2019, and the ML.Net team also announced a set of ML tools related to ML.Net. One of the most interesting ones is Machine Learning Model Builder. You can get more information about Model Builder in the official website. ML.NET Model Builder provides an… — read more
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#Event – Resources for the sessions about #DeepLearning and #CustomVision at the @ChicagoCodeCamp
Hi! Another post-event post, this time with a big thanks to the team behind one of the most amazing event I’ve been this year: Chicago CodeCamp. I had the chance to meet a lot of amazing people, to learn a lot during the sessions and also to visit the great city of Chicago. As usual,… — read more
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#Event – Resources for the session [Getting Started with Machine Learning.Net & #Azure] on the #GlobalAzure Bootcamp in GTA
Hi! Another post-event post, this time with a big thanks to the team behind one of the biggest Community events globally: Global Azure Bootcamp. Avanade Canada sponsored this session and I had the amazing chance to share some insights around Machine Learning.Net and Azure. As usual, now it’s time to share slides, code and more.… — read more
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#Event – Webinar: Getting Started with ML.NET and Windows Machine Learning, Today with the GLUG .Net User Group
Hi ! Another virtual event about Windows ML and Machine Learning .Net, and this time with my good friends from Okemos, MI. The event will be Getting Started with ML.NET and Windows Machine Learning Thursday, Feb 21, 2018. 6:30 PM to 8:00 PM One more time, we have new features and improvements on the platform… — read more
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#Event – 30 min de #MachineLearning.Net durante el evento en vivo @mvpdays (ahora mismo!)
Buenas ! en pocas horas dará comienzo un evento gratuito de formación: MVP Days. Yo tuve la suerte de tener mis 30 minutos para hablar de Machine Learning.Net Getting Started with Machine Learning.Net and Windows Machine Learning Machine Learning has moved out of the lab and into production systems. Understanding how to work with this… — read more
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#Event – 30 min of #MachineLearning.Net on the next @mvpdays on Jan 30!
Hi ! less than 24 hours for a full day of free training, take a look at MVP Days. I was lucky enough to have my slot to share some experiences and a zero to one demo on Machine Learning.Net Getting Started with Machine Learning.Net and Windows Machine Learning Machine Learning has moved out of… — read more
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El Bruno 