Category: Machine Learning

#MLNET – Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!)

#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 … Continue reading #MLNET – Analyzing pipeline data in Machine Learning.Net using the new API 0.6.0 (thanks LINQ!)

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#MLNET – Analizando datos de la Pipeline con la nueva version API 0.6.0 (gracias LINQ!)

#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 … Continue reading #MLNET – Analizando datos de la Pipeline con la nueva version API 0.6.0 (gracias LINQ!)

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#MLNET – API improvements in the new 0.6.0 version

#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, … Continue reading #MLNET – API improvements in the new 0.6.0 version

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#MLNET – Cambios en la API con la nueva version 0.6.0

#MLNET – Cambios en la API con la nueva version 0.6.0

Buenas! Hace unos días se libero la version 0.6.0 de Machine Learning .Net y una de las novedades mas importantes de la misma fue que la API de uso de ML.Net cambio de una forma muy importante. En mis sesiones siempre suelo comentar el escenario de predicción del Label de una persona para ver si … Continue reading #MLNET – Cambios en la API con la nueva version 0.6.0

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#Event – Resources used during: Getting started with Machine Learning.Net and WinML at @metrotorontoug

#Event – Resources used during: Getting started with Machine Learning.Net and WinML at @metrotorontoug

Hi! Now it’s time to thanks Armin (@ArminPage), Ehsan (@ehsaneskandarim) and Luca (@lucavgobbi) from Metro Toronto .Net User Group. They invited me to share a session about 2 very cool topics: Machine learning.Net and Windows Machine Learning. The event was great! full house, and as usual now it’s time to share some of the resources used … Continue reading #Event – Resources used during: Getting started with Machine Learning.Net and WinML at @metrotorontoug

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#Event – Materiales de la sesión: Introducción a Machine Learning.Net con @metrotorontoug

#Event – Materiales de la sesión: Introducción a Machine Learning.Net con @metrotorontoug

Buenas! Momento de agradecer a los amigos Armin (@ArminPage), Ehsan (@ehsaneskandarim) y Luca (@lucavgobbi) de Metro Toronto .Net User Group que me han dado la oportunidad de hablar en modo introducción sobre Machine learning.Net y Windows Machine Learning. Como es habitual, ahora es el momento de compartir slides y Source Code de los ejemplos comentados … Continue reading #Event – Materiales de la sesión: Introducción a Machine Learning.Net con @metrotorontoug

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#AutoML – Automated Machine Learning,AKA #Skynet

#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 … Continue reading #AutoML – Automated Machine Learning,AKA #Skynet

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#AutoML – Automated Machine Learning, modelos de #MachineLearning que aprenden a optimizarse! (en las movies se llama #skynet)

#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 … Continue reading #AutoML – Automated Machine Learning, modelos de #MachineLearning que aprenden a optimizarse! (en las movies se llama #skynet)

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#Event – Getting Started with ML.NET and Windows Machine Learning, October 3rd in Toronto @metrotorontoug

#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 … Continue reading #Event – Getting Started with ML.NET and Windows Machine Learning, October 3rd in Toronto @metrotorontoug

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#Event – Getting Started with ML.NET and Windows Machine Learning, proximo 3 de Octubre en Toronto @metrotorontoug

#Event – Getting Started with ML.NET and Windows Machine Learning, proximo 3 de Octubre en Toronto @metrotorontoug

Buenas! Otro evento Machine Learning, especialmente orientado para .Net developers. Esta vez con los amigos de Metro Toronto, el proximo 3 de Octubre . 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 technology is one of the … Continue reading #Event – Getting Started with ML.NET and Windows Machine Learning, proximo 3 de Octubre en Toronto @metrotorontoug

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