#MachineLearning – Free Ebook [Pattern Recognition and Machine Learning] from Christopher Bishop

Hi ! I have already share this information on several times in face to face conversations, so I will leave a post on my blog to have the permanent reference for it. Christopher Bishop, Technical Fellow and Laboratory Director In Microsoft Research Cambridge, UK, gives us the chance to download for free his eBook about … Continue reading #MachineLearning – Free Ebook [Pattern Recognition and Machine Learning] from Christopher Bishop

Advertisements

#MachineLearning – Ebook Gratis [Pattern Recognition and Machine Learning] de Christopher Bishop

Buenas! Ya lo he comentado varias veces en persona, así que dejare un post en mi blog para tener la referencia lista. Christopher Bishop (@ChrisBishopMSFT), Technical Fellow and Laboratory Director en Microsoft Research Cambridge, UK, nos presenta la posibilidad de descarga de manera gratuita en formato PDF su libro [Pattern Recognition and Machine Learning]. Son … Continue reading #MachineLearning – Ebook Gratis [Pattern Recognition and Machine Learning] de Christopher Bishop

#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

#Event – Materiales utilizados en la sesión [Getting Started with Machine Learning.Net & Windows Machine Learning] con el grupo de Mississauga .NET User Group

Buenas! Momento de agradecer al amigo Obi (@ObiOberoi) y a los miembros del grupo Mississauga .NET User Group por el apasionante rato que pasamos hace unos dias hablando de Windows ML y de Machine Learning.Net. Como es habitual, ahora es el momento de compartir slides y Source Code de los ejemplos comentados ayer. Muchas gracias … Continue reading #Event – Materiales utilizados en la sesión [Getting Started with Machine Learning.Net & Windows Machine Learning] con el grupo de Mississauga .NET User Group

#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 … Continue reading #MLNET – New version 0.7 for Machine Learning.Net (the perfect excuse to update my content for next events!)

#MLNET – Novedades en la version 0.7 de Machine Learning.Net (la excusa perfecta para actualizar proximos eventos!)

Buenas! Hace unos días se publico la version 0.7 de Machine Learning .Net. No he tenido tiempo de repasar a fondo las novedades de esta version, sin embargo, tendré actualizada mi sesión y demos a la version 0.7 para la próxima sesión el próximo 22 de Noviembre en Mississauga Getting Started with Machine Learning.Net & … Continue reading #MLNET – Novedades en la version 0.7 de Machine Learning.Net (la excusa perfecta para actualizar proximos eventos!)

#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!)

#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!)

#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