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#Event – Resources used on the [#ArtificialIntelligence and #MachineLearning in #Azure] event
Hi! Let me start with a big Thanks to my friends on [The Azure Group (Canada’s Azure User Community] for all the work and amazing time in my session [Artificial Intelligence and Machine Learning in Azure]. As usual, now it’s the share resources time. This one will be slides and tons of links, the source… — read more
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#Event – Materiales utilizados en la sesión [#ArtificialIntelligence and #MachineLearning in #Azure]
Buenas! Gracias a los amigos de [The Azure Group (Canada’s Azure User Community] por el excelente rato hace un par de días en la sesión [Artificial Intelligence and Machine Learning in Azure]. Como siempre, ahora es el momento de compartir las slides y materiales utilizados en la sesión Y esta vez en lugar de código,… — read more
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#Event – Global AI Bootcamp, Toronto: Call 4 Speakers open!
Hi! One month to go for the Global AI Bootcamp , and today we open the Call 4 Speakers here https://sessionize.com/global-ai-bootcamp—toronto/ We are looking for sessions and workshops for: Machine Learning Deep learning Cortana Cognitive Services Bot framework / LUIS And any topic related to AI we are looking… — read more
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#AI – #AISchool, Free Artificial Intelligence OnLine courses. (Update)
Hi! A couple of months ago I wrote a post about AI School https://aischool.microsoft.com/. A collection of free courses on Artificial Intelligence that are an excellent entry point for amateurs. Well, AI School It has matured a lot and has some changes that deserve to be mentioned. For example, AI School It gives us the… — read more
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#AI – #AISchool, cursos gratuitos de Inteligencia Artificial OnLine. (Update)
Buenas! Hace un par de meses escribí sobre AI School https://aischool.microsoft.com/. Una colección de cursos gratuitos sobre Inteligencia Artificial que son un excelente punto de entrada para aficionados. Pues bien, AI School ha madurado bastante y tiene algunos cambios que merecen ser mencionados. Por ejemplo, AI School nos brinda la posibilidad de elegir 4 categorías… — read more
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#MLNET – New version 0.7 for Machine Learning.Net (the perfect excuse to update my content for next events!)
Hi! A few days ago, the Machine Learning Net. team published a new version, 0.7. I have not had time to thoroughly review the novelties of this version, however, I will update my session and demos to version 0.7 for the next session on November 22 in Mississauga Getting Started with Machine Learning.Net & Windows… — read more
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#MLNET – Novedades en la version 0.7 de Machine Learning.Net (la excusa perfecta para actualizar proximos eventos!)
Buenas! Hace unos días se publico la version 0.7 de Machine Learning .Net. No he tenido tiempo de repasar a fondo las novedades de esta version, sin embargo, tendré actualizada mi sesión y demos a la version 0.7 para la próxima sesión el próximo 22 de Noviembre en Mississauga Getting Started with Machine Learning.Net &… — read more
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#Humor – The #1 Data Scientist excuse for legitimately slacking off (update from @xkcd)
Hi ! In 2018 it makes sense to get the Data Scientist version of this one Greetings @ Burlington El Bruno Source: https://www.xkcd.com/303/ — read more
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#AI – MARLO 2018, Contest using Reinforcement Learning on Minecraft
Buenas! A while ago I wrote a series of posts about “Artificial Intelligence With Minecraft using Project Malmo“. Minecraft is an excellent playground To test AI experiences, and competencies like MARMO are excellent for learning and to drive the AI community. Learning to Play: The Multi-Agent Reinforcement Learning in MalmO Competition (“Challenge”) is a new… — read more
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#AI – MARLO 2018, Reinforcement Learning con Minecraft
Buenas! Hace un tiempo escribí una serie de posts sobre “Artificial Intelligence con Minecraft utilizando Project Malmo”. Minecraft es un excelente playground para probar experiencias de AI, y competencias como MARMO son excelentes para aprender y para impulsar la comunidad de AI. La competencia Malmo es un nuevo desafío que propone una investigación con Multi-Agent… — read more
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#WinML – Alternatives to #Yolo for object detection in #ONNX format
Hi! A few days ago I commented with some colleagues the example of using TinyYolo In a UWP Application. Now it is a very task, because we can use a ONNX model in an Windows 10 application. Note: The App can be an UWP app or a standard Win32 app, like, for example, the classic… — read more
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#WinML – Alternativas a #TinyYolo para reconocimiento de objetos en formato #ONNX
Buenas! Hace unos días comentaba con unos colegas el ejemplo de utilización de TinyYolo en una UWP. Ahora es muy simple poder utilizar un modelo de ML en formato ONNX y utilizarlo en una aplicación en Windows 10. Nota: la app puede ser UWP o una app Win32 estándar, como, por ejemplo, los clásicos Windows… — read more
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#Humor – Being a developer is not stressing at all, John 26 years old
Hi ! Greetings @ Hamilton El Bruno — read more
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#Event – Getting Started with Machine Learning.Net & Windows Machine Learning on Nov 22 in Mississauga
Hi ! So my friends from the Mississauga .Net User Group (link) were kind enough to invite me to host a session on November 22th, in TEK Systems in Mississauga. I’ll share some of the updates on ML.Net, currently in version 0.6 and some other very cool stuff around Microsoft and AI. You can register… — read more
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Event – Artificial Intelligence and Machine Learning in #Azure on Nov 14 in Toronto
Hi ! 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. You can register to the event here and the formal… — read more
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#Humor – Nic Cage and #AI, why not :D
Hi! Just look at these amazing Deep Learning sample … Greetings @ Burlington El Bruno — read more
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Crea tu ejército del mal con Microsoft Robotics
Originally posted on Amby.net: El próximo Lunes 25 habrá una nueva charla del DotNet Club de la Universidad Autónoma de Madrid. Esta vez estaremos hablando de Robótica con Tecnologías Microsoft. ¿El ponente? Pues de lujo, Bruno Capuano, sí señores !!! Como pa’ perdérselo. Yo llegaré, ando mal de tiempo; pero no me lo quiero perder… — read more
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#MLNET – Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!)
Hi! The change in the way the pipelines work in the 0.6.0 version of Machine Learning.Net, also requires some changes in our code if we want to see how the data is processed during each of the pipeline’s steps. Using the example of my previous post, I will work with the following data structure. On… — read more
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#MLNET – Analizando datos de la Pipeline con la nueva version API 0.6.0 (gracias LINQ!)
Buenas! El cambio en la forma en la que las Pipelines trabajan en la version 0.6.0 de Machine Learning.Net, también requiere que el código se modifique un poco si queremos ver como se procesan los datos durante cada uno de los pasos de la Pipeline. Retomando el ejemplo del post anterior, voy a trabajar con… — read more
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#MLNET – API improvements in the new 0.6.0 version
Hi! A few days ago, the ML.Net team released the 0.6.0 version of Machine Learning.Net and one of the most important changes it’s on the way we use ML.Net API. In my MLNet sessions I usually comment on a prediction scenario based on the Label of a person to see if it is a child,… — read more