Después de una noche genial con los amigos de Metro Toronto UG, llega el momento de compartir los materiales que utilice durante la sesión. La idea inicial era hablar un poco de Azure Notebooks, y de alguna manera terminamos hablando también de Cognitive Services y Custom Vision, fue genial!
Para comenzar, los 15 min con el video de la Keynote:
Y algunos de los links que utilicé durante la sesión
After an amazing event with my friends from Metro Toronto UG, it’s time to share some resources. It was initially supposed to be focused only on Azure Notebooks, but somehow we spend a lot of time talking about Cognitive Services and Custom Vision, that was great!
Quick post today, I’m dealing with tons of personal stuff and my blogging time is near to zero 😀
Yesterday I co-hosted a session with Ehsan (@ehsaneskandarim) about our experiences in the MVP program. It was nice to share some non technical content, and I hope I shocked some people with my Xbox Controller demo for a 5 years old kid.
By the way, my 2 main topics were related to
Please think on diversity for your technical communities. Include diverse people, invite diverse people, do fast talks, and more … When I read that @prsdkmt posted this tweet, I was happy that at least one person get the message
Yes, as a father of an amazing daughter, brother of the best sister, husband of my beautiful wife and son of the greatest mother ever… I really wish there are more women in our tech events. #stemhttps://t.co/mwrTIudZTh
So my friends from the Azure Group Meetup (link) were kind enough to invite to host a session on November 14th, in the best place ever: Avanade Toronto office! So I’ll match an Innovation Day with a session or Artificial Intelligence in Azure.
Join us for a review of AI, Machine Learning and Cognitive Services in Microsoft Azure. In this session we will discuss some of the most popular tools and frameworks available for AI in Azure: Cognitive Services, Azure Machine Learning, and the Azure Bot Service.
You will get to see lots of code and demos of some real world applications using the various different Cognitive services including vision, speech, and language.
Now it’s time to thanks Armin (@ArminPage), Ehsan (@ehsaneskandarim) and Luca (@lucavgobbi) from Metro Toronto .Net User Group. They invited me to share a session about 2 very cool topics: Machine learning.Net and Windows Machine Learning.
The event was great! full house, and as usual now it’s time to share some of the resources used during the sesion. Start with the slides and samples source code.
Momento de agradecer a los amigos Armin (@ArminPage), Ehsan (@ehsaneskandarim) y Luca (@lucavgobbi) de Metro Toronto .Net User Group que me han dado la oportunidad de hablar en modo introducción sobre Machine learning.Net y Windows Machine Learning.
Como es habitual, ahora es el momento de compartir slides y Source Code de los ejemplos comentados ayer.
Muchas gracias por las preguntas y por el Feedback, todos 5 estrellas!
It’s time to share some Machine Learning experiences and news , mostly for Net developers. This time is with my friends from Metro Toronto, on October the 3rd.
Getting Started with ML.NET and Windows Machine Learning
Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.
In other words, if you are a .NET developer, this session is for you! We will cover the basics of ML.NET, a complete machine learning framework to work with C#, F# or any other .NET Core language.