#Event – Resources used on my @CodeMash session [How a PoC at home can scale to Enterprise Level using #CustomVision APIs]

Hi ! What an amazing time at CodeMash (http://codemash.org/). This conference is one the best experiences I’ve had so far. I’ll write a more detailed post next week, this one is to share some of the materials used during my session How a PoC at home can scale to Enterprise Level using Custom Vision APIs … Continue reading #Event – Resources used on my @CodeMash session [How a PoC at home can scale to Enterprise Level using #CustomVision APIs]

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#MLNet – Looking at data in the Pipeline in version 0.7.0

Hi! With the new changes In Machine Learning.Net with the 0.7.0 version, the ability to peek in the data while is processed in each step of the pipeline is a little more complicated. A while ago, explain how we could do this in the post [Understanding the step bystep of Hello World]. However, ML.Net now … Continue reading #MLNet – Looking at data in the Pipeline in version 0.7.0

#MLNet – Visualizando datos del Pipeline en la versión 0.7.0

Buenas! Con los nuevos cambios en Machine Learning.Net con la versión 0.7.0, la capacidad dever paso a paso como los datos se procesan es un poco mas complicado. Hace untiempo, explique cómo podíamos hacer esto en el post [Understanding the step bystep of Hello World]. Sin embargo, ahora ML.Net utiliza Lazy objects, con lo que … Continue reading #MLNet – Visualizando datos del Pipeline en la versión 0.7.0

#MLNET – Write and Load models using Machine Learning .Net

Hi ! Today post fast that the code is self explanatory. First, based on the previous posts, the process of defining and training the model. The important thing happens on lines 15 and 16, where the model is recorded. https://gist.github.com/elbruno/247220ec155c8b152637beef8d5872c9 And then another project, where the engraved model is used. Attention to lines 18 to … Continue reading #MLNET – Write and Load models using Machine Learning .Net

#MLNET – Guardando y reutilizando modelos con Machine Learning .Net

Buenas! Hoy post rápido que el código se explica por si solo. En primer lugar, basado en los posts anteriores, el proceso de definir y entrenar el modelo. Lo importante sucede en líneas 15 y 16, donde se graba el modelo. https://gist.github.com/elbruno/247220ec155c8b152637beef8d5872c9 Y luego otro proyecto, donde se utiliza el modelo grabado. Atención a las … Continue reading #MLNET – Guardando y reutilizando modelos con Machine Learning .Net

#MLNET – Understanding the step by step of Hello World

Hi! Today while we were recording a a podcast on ML.Net, one question arose about how the data is processed in Machine Learning .Net. Well, let's go back to my previous example that believes in the past post and let's see step by step this. In short, these are the steps to train a model … Continue reading #MLNET – Understanding the step by step of Hello World

#MLNET – Entendiendo el paso a paso del Hola Mundo

Buenas! Hoy mientras grabábamos un podcast sobre ML.Net, surgió la pregunta sobre cómo se procesan los datos en Machine Learning .Net. Pues bien, volvamos al ejemplo anterior que cree en el post pasado y veamos el paso a paso de este. Resumiendo, y mucho, estos son los pasos para entrenar un modelo y realizar una … Continue reading #MLNET – Entendiendo el paso a paso del Hola Mundo

#MLNET – Hello World in ML.Net, Machine Learning for .Net !

Hi! I can not wait to start writing a little more about ML.Net. For now just a couple of code snippets to show how simple and fast it can be Starting with a set of data with ages to classify babies and kids, in a CSV file. All based on my personal criteria https://gist.github.com/elbruno/ae845b5be2ac0f72eb79bb98c73b6e0c And … Continue reading #MLNET – Hello World in ML.Net, Machine Learning for .Net !

#MLNET – Hola Mundo con ML.Net, Machine Learning for .Net !

Buenas! No puedo esperar a empezar a escribir un poco mas al respecto sobre ML.Net. Por ahora solo un par de code snippets para demostrar lo simple y rápido que puede ser Comenzando con un set de datos con edades para clasificar babies y kids, en un archivo CSV. Todo basado en mi criterio personal … Continue reading #MLNET – Hola Mundo con ML.Net, Machine Learning for .Net !

#Event – Materials used during the Global Azure Bootcamp [#ArtificialIntelligence – Using #Azure #CognitiveServices] #GlobalAzureTo

Hi! I have to start by thanking Cheryl (@explorengcheryl), Ehsan (@ehsaneskandarim), Luca (@lucavgobbi), Armin (@ArminPage) and all the other people who participated in the organization of the event. Coordinating a session for almost 150 people is a challenge and this event has been a success. Congratulations!!! Personally spend a very pleasant time. I was lucky … Continue reading #Event – Materials used during the Global Azure Bootcamp [#ArtificialIntelligence – Using #Azure #CognitiveServices] #GlobalAzureTo