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#AzureML – Sample 🐍 Python app using a WebCam to perform Image Analysis from an image classification AzureML HTTP REST Endpoint
Hi ! In my previous post I wrote How to create a custom dataset with images to be used on a Azure Machine Learning Designer project. How to use the custom data set and how to train an image classification model. How to publish the model to be used as a WebService / HTTP REST — read more
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#AzureML – Sample 🐍 Python app to consume a image classification AzureML HTTP REST Endpoint
Hi ! In my previous post I wrote How to create a custom dataset with images to be used on a Azure Machine Learning Designer project. How to use the custom data set and how to train an image classification model. How to publish the model to be used as a WebService / HTTP REST — read more
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#AzureML – Creating a HTTP Rest Endpoint to consume an AzureML Designer based on the DenseNet template 🎨
Hi ! In my previous post I wrote about how to create a custom dataset with images to be used on a Azure Machine Learning Designer project. The second post was about how to use the custom data set and how to train the model. Today let’s publish the model to be used as a — read more
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#AzureML – Using a custom images 🖼️ dataset on the AzureML Designer with the DenseNet template 🎨
Hi ! In my previous post I wrote about how to create a custom dataset with images to be used on a Azure Machine Learning Designer project. Today I’ll share the steps to use it. Let’s start by creating a project based on the “Image Classification using DenseNet” template. Next step is to select the — read more
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#AzureML – How to create a dataset with images to be used on the AzureML Designer DenseNet samples
Hi ! I didn’t found this online, so I decided to write it down. How to create a dataset with images to be used on the Azure Machine Learning designer, when training a model using the DenseNet prefab and samples. Let’s start defining which Azure Storage Account we will use. I’ll use the default one. — read more
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#VS2019 – ML.NET Model Builder training using GPU, CPU and … Azure !
Hi ! I my previous posts on Model Builder, I show the differences between using the CPU and GPU to train a model. There is a 3rd option, which involves an Azure ML Experiment, and performs the training on the cloud. It took me some time, to setup this environment, mostly because I tried 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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#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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#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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#AutoML – Automated Machine Learning, modelos de #MachineLearning que aprenden a optimizarse! (en las movies se llama #skynet)
Buenas! Una de las noticias mas importantes que se presentaron la semana pasada en Ignite fue la Preview de Azure AutoML: Automated Machine Learning. Lo mejor para entrar en detalles sobre AutoML es leer el post oficial del equipo de Azure Machine Learning (ver referencias). Yo lo intentare resumir en un nuevo framework que permite — read more
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#Event – Materials used in the event [Introduction to Microsoft AI] with a bit of #WinML
Hi! As always, it’s a pleasure to talk about Microsoft’s Artificial Intelligence platform. We had full house, and also the visit of Valentino and Martina. On this occasion there were many attendees with a profile of Data Scientist, so the questions were more than interesting. The support and collaboration of Asmita were fundamental to answer — read more
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#Event – Materiales utilizados en el evento [Introducción a Microsoft AI] con un poco de #WinML
Buenas! Como siempre ha un placer hablar sobre la plataforma de Inteligencia Artificial de Microsoft. Tuvimos full house, y ademas la visita de Valentino y Martina. En esta ocasión hubo muchos asistentes con un perfil de Data Scientist con lo que las preguntas fueron mas que interesantes. El soporte y la colaboración de Asmita fueron — read more
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El Bruno 