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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 – 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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#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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#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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#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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#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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#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 – 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
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#SnagIt – From the same team who created #Camtasia, a great tool for screen capture on scrolling windows
Hi! I’ll save this tip for myself in the future. For those weird scenarios, when I have the need to take a screenshot of a complete Website or a very long page of source code. I mean, usually I can do this playing around with zoom and several [Print Screen], however, a few days ago… — read more
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#VSCode – Visual Studio Code Tools for #AI available at Visual Studio Marketplace @code
Hi! Happy Thanksgiving! Today is one of those new holidays that I need to learn, now that we are all living in the North. Just as I have to get used to spending more and more time in Visual Studio Code. It’s just because for simple tasks in Python, the experience with this IDE is… — read more
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#Humor – The truth behind #ArtificialIntelligence
Hi ! I’ve shared this on my last session and I read a couple of smiles in the audience Greetings @ Burlington El Bruno — read more
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#AutoML – Automated Machine Learning,AKA #Skynet
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… — read more
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#Microsoft – Internet Archive give us access to MS-DOS and MS Word source code (Back to the 90’s !)
Hi! Over the last few days, there are people who have a big smile on their face. If you are one of those who like the history of computers, now you have at your fingertips a major component of the last 30 years. MICROSOFT RESEARCH LICENSE AGREEMENT | Microsoft DOS V1.1 and V2.0 And that’s… — read more
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#Event – Getting Started with ML.NET and Windows Machine Learning, October 3rd in Toronto @metrotorontoug
Hi! 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… — read more
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El Bruno 