Hi ! Another great time with the Microsoft Student Ambassadors, This time, I shared some insights about Machine Learning.Net and AutoML. As usual now it’s time to share the resources Slides Source Code Source Code is available here. Recording Coming soon !
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 ! This is a cool one, Machine Learning .Net (ML.Net) now support ranking scenario in AutoML. As an Machine Learning aficionado, this is amazing. I can now process my problems with AutoML, and then learn the specifics of the best produced models. Note: a couple of weeks ago, someone asked a question around ranking…… Continue reading #MLNet – AutoML for ranking scenarios
Buenas ! Seguimos en modo StayAtHome, y una forma excelente de conectar con las comunidades, es participando en eventos ya sea como Speaker o como Attendee. Esta vez tengo la oportunidad de hablar en NetCoreConf: NetCoreConf 2020 Lo último en tecnologías Microsoft y mucho más con los mejores expertos. Donde podrás aprender, compartir y hacer…… Continue reading #Event – Machine Learning.Net y AutoML, esta vez en Español !
Hi! It was a placer to share some amazing and early time with the Data Platform Geeks in a webinar about Machine Learning.Net. Slides Source Code https://github.com/elbruno/events/tree/master/2020%2001%2021%20DPG%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 – Resources used during Getting started with #MachineLearning.net with @TheDataGeeks
Hi! It was a placer to share some amazing time with the Mississauga .Net User Group last night in my last session of the decade. It was a full night focused on Artificial Intelligence and Machine Learning, and as usual is time to share the resources used in the session. Slides Source Code https://github.com/elbruno/events/tree/master/2019%2009%2005%20Global%20AI%20Night Resources…… Continue reading #Event – Resources used during the #MachineLearning Galore at @MississaugaNetU
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
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
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…… Continue reading #MLNET – Are you a Command line user? MLNet CLI is great for some AutoML train tasks!
Hi! IMHO one of the most important announcements presented last week in Ignite was the Azure preview for AutoML: Automated Machine Learning. I’m not going to get into details about AutoML, the best option is to read the official post from the Azure Machine Learning team (see references). I’ll do my best effort to try…… Continue reading #AutoML – Automated Machine Learning,AKA #Skynet