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#MachineLearning – Let’s start 2020 with a free Ebook: Pattern Recognition and Machine Learning
Hi ! I’ve posted this one some time ago, however it’s still a free and VERY USEFUL one ! Christopher Bishop, Technical Fellow and Laboratory Director In Microsoft Research Cambridge, UK, gives us the chance to download for free his eBook about Pattern Recognition and Machine Learning. With more than 700 pages of a highly… — read more
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#Event – Resources used during the #MachineLearning Galore at @MississaugaNetU
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… — read more
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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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#Azure – Azure Open DataSets, an amazing friend for Azure #ML Studio (Preview)
Hi! Time for a very interesting feature part of the Azure family: Azure Open Datasets. OK, when you read the name, you probably get 95% of the idea, however, let’s dig into the official definition (see references). Azure Open Datasets are curated public datasets that you can use to add scenario-specific features to machine learning… — 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 – Building an Anomaly Detector System with a few or no lines of code at @MSFTReactor
Hi ! Microsoft opened a brand new Microsoft Reactor in Toronto, and I’m lucky enough to host a AI session about Anomaly Detection. Below are the details Detecting anomalies is a common scenario which can be applied to dozens of industries. From the analysis of power consumption, medical data, or even analysis of personal 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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#AI – Introduction to #deeplearning vs. #machinelearning by @frlazzeri. The best 10 min read for today
Hi! Explain the differences / relationship between Machine Learning and Deep Learning is a question that I face in every event or chat about Machine Learning. And I used to have my 5 bullets explanation for this. However, now thanks to Francesca Lazzeri (@frlazzeri) I can advice people to read this amazing article. Introduction to… — read more
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#Event – I’ll be at the Caribbean Developer Conference on October ! #CDC2019
Hi ! Wow, I’ll completely amazed because I’ll have the chance to share some Machine Learning, Custom Vision and other experiences in the Caribbean Developer Conference in October. Caribbean Developer Conference This event is great and as usual, the list of speakers is AMAZING! I’ll share more details later, and in the meantime, if you… — 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 – See you @ChicagoCodeCamp on May 11, 2019 for some Deep Learning and Custom Vision experiences
Hi ! I’m very lucky to be at the next Chicago CodeCamp with another session around Custom Vision: How a PoC at home can scale to Enterprise Level using Custom Vision APIs It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the… — 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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El Bruno 