Seguimos en modo StayAtHome, y una forma excelente de conectar con las comunidades, es participando en eventos ya sea como Speaker o como Attendee.
Esta vez tengo la oportunidad de hablar en NetCoreConf:
Lo último en tecnologías Microsoft y mucho más con los mejores expertos. Donde podrás aprender, compartir y hacer networking. Asistiendo a diversas Conferencias y Workshops. Hablaremos sobre NetCore, Azure, Xamarin, IA, Big Data. ¿A que estas esperando?
NetCoreConf 2020 realizará el primer evento virtual a nivel global dedicado exclusivamente al sector del desarrollo y consultoría que busca descubrir y dar a conocer las nuevas tecnologías de vanguardia y crear vínculos estratégicos que generen sinergias conjuntas entre los profesionales del sector, empresas e instituciones.
La agenda es impresionante, y yo hablaré de uno de los productos más interesantes que Microsoft ha presentado en los últimos años: Machine Learning.Net. En mi sesión comentaré un poco la historia y algunos ejemplos del producto, y además un poco de una herramienta muy interesante para los no programadores: AutoML.
Finalmente, agradecer al gran equipo que esta detrás de este evento:
I had an amazing time with the Dev.Next team in a virtual session. The agenda was great, I joined a couple of session and it was great ! Take a look at the full set of contents here. Recording sessions soon !
These are strange days, however we all try to do our best to move forward. An important part of today’s behaviors is to try to avoid big events. That’s why, in the last 2 weeks, we get news about events being cancelled all over the world.
I have a plan to visit Colorado, US, in a couple of weeks for the Dev.Next event. However, due to Covid-19, the event was postponed to August (more information here).
The amazing organizing team, decided to face this with a big smile and organized a mini virtual version of the event. This is the official announcement:
dev.next is happy to announce a mini digital event on March 24, 2020. The event is free to attend. We will post link here on March 24th. Recordings from the event will be available later. Please check back here for links to the recordings.
I’ll be sharing some experiences and insights around Machine Learning, Computer Vision and IoT. Here are my session details.
How a PoC at home can scale to Enterprise Level using Custom Vision APIs (v2!)
It all started with a DIY project to use Computer Vision for security cameras at home. A custom Machine Learning model is the core component used to analyze pictures to detect people, animals and more in a house environment. The AI processing is performed at the edge, in dedicated hardware and the collected information is stored in the cloud.
The same idea can be applied to several CCTV scenarios, like parking lots, train stations, malls and more. However, moving this into enterprise scale brings a set of challenges, which are going to be described and explained in this session.
In this new version of the session, we will start from scratch and create a complete “Parking Garage Open Space Tracker” solution with live devices and live cars (small ones, of course)
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 recommended reading
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. This hard cover book has 738 pages in full colour, and there are 431 graded exercises (with solutions available below). Extensive support is provided for course instructors.
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.