#Event – Resources for the session [Getting Started with Machine Learning.Net & Windows Machine Learning] on the GLUG .Net User Group

Hi!

Another post-event post, this time with a big thanks to Joe Kunk (@JoeKunk) and to all the members of the GLUGnet User Group for .NET, Web, Mobile, Database. We had an amazing time, via Google Hangouts in the session about Windows ML and Machine Learning.Net.

As usual, now it’s time to share slides, code and more.

Source Code GitHub https://github.com/elbruno/events/tree/master/2019%2002%2021%20GLUG%20NetUG%20MLNet

And some Machine Learning.Net resources:

Resources

Greetings @ Toronto

El Bruno

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#Event – Webinar: Getting Started with ML.NET and Windows Machine Learning, Today with the GLUG .Net User Group

giphy-downsized

Hi !

Another virtual event about Windows ML and Machine Learning .Net, and this time with my good friends from Okemos, MI. The event will be

Getting Started with ML.NET and Windows Machine Learning

One more time, we have new features and improvements on the platform since the previous event, so it’s time for me to review and prepare new content. In example, use TensorFlow and ML.Net !!!

Description  

Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.

In other words, if you are a .NET developer, this session is for you! We will cover the basics of ML.NET, a complete machine learning framework to work with C#, F# or any other .NET Core language.

Online Register https://www.meetup.com/GLUGnet/events/qkmgpkyzdbcc/

Happy Coding!

Greetings @ Burlington

El Bruno

#Event – Resources used on my session at the largest Canada makeathon: @MakeUofT [How a PoC at home can scale to Enterprise Level using #CustomVision APIs]

2019 02 16 MakeUofT Custom Vision Bruno

Hi !

What an amazing time at the Canadian Largest Makeathon: MakeUofT (https://ieee.utoronto.ca/makeuoft/). The event, people and ideas are great. And now it’s time to share some of the materials used during my session

How a PoC at home can scale to Enterprise Level using Custom Vision APIs

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.

These are the slides I’ve used

And the source code is available here

https://github.com/elbruno/events/tree/master/2019%2002%2016%20MakeUofT%20Custom%20Vision

In the source code you can find the console and Windows 10 app samples I’ve coded live and also the exported images of my custom vision demo project in windows, linux and raspberry pi flavors. The 3rd one is where I spent some time updating the original linux one to work on the small device.

And as usual a couple of interesting links

Greetings @ Toronto

El Bruno

#Event – Cold weather? > All the @MVPDays sessions available for offline viewing !

snowstormintoronto

Hi !

While we are enjoying this amazing days with -20C as average temperature, it’s maybe the perfect excuse to watch and learn with all the videos from yesterday’s MVP Days session.

All of the recording are available here: https://www.youtube.com/playlist?list=PLW-BLrn2azoSeYbDWqNeQa83B5R8gc2vY 

And the topics are:

  • MVPDays – Securing Service Accounts The Modern Way – John O’Neill Sr
  • MVPDays – DevOps ICU: Improving DevOps Results by (Correctly) Integrating UX – Debbie Levitt
  • MVPDays – Getting Started with Azure Devops – Gregor Suttie
  • MVPDays – Automate blockchain w/ Azure Blockchain Workbench and Microsoft Flow – StefanoTempesta
  • MVPDays – Getting Started with Machine Learning.Net and Windows Machine Learning – Bruno Capuano
  • MVPDays – Ten practical tips to secure your corporate data with Microsoft 365 – Peter Daalmans
  • MVPDays – The First 5 Things To Getting Started with Teams: IT Admin Edition – Jeremy Miller
  • MVPDays – Automate your Patching with Azure Patch Management – Sarah Lean
  • MVPDays – Xamarin and the Cloud – Rebai Hamida
  • MVPDays – Microsoft Teams: A Collaboration Story – Muditha Chathuranga
  • MVPDays – Hardening Windows Server – Orin Thomas
  • MVPDays – Azure AD Domain Services – domain controllers in the cloud? – Sam Cogan
  • MVPDays – Configure Azure AD Connect like the Pros – Max Fritz
  • MVPDays – Going Serverless on Azure – Ivan Culjak
  • MVPDays – Azure STack Development Kit the cheap Azure Development platform – Carsten Rachfahl

Happy coding !

Greetings @ Toronto

El Bruno

#Event – 30 min de #MachineLearning.Net durante el evento en vivo @mvpdays (ahora mismo!)

aerial photo of mountain surrounded by fog
Photo by icon0.com on Pexels.com

Buenas !

en pocas horas dará comienzo un evento gratuito de formación: MVP Days.

Yo tuve la suerte de tener mis 30 minutos para hablar de Machine Learning.Net

Getting Started with Machine Learning.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 essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.
And if you are a .Net developer, we will cover the basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.

Salvo yo, la agenda y speakers son geniales !

Happy Coding!

Saludos @ Toronto

El Bruno

#Event – 30 min of #MachineLearning.Net on the next @mvpdays on Jan 30!

aerial photo of mountain surrounded by fog
Photo by icon0.com on Pexels.com

Hi !

less than 24 hours for a full day of free training, take a look at MVP Days.

I was lucky enough to have my slot to share some experiences and a zero to one demo on Machine Learning.Net

Getting Started with Machine Learning.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 essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.
And if you are a .Net developer, we will cover the basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.

You should really check the agenda, there are a lot of amazing topics and speakers !

Greetings @ Toronto

El Bruno

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

code mash bruno session

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

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.

These are the slides I’ve used

And the source code is available here

https://github.com/elbruno/events/tree/master/2019%2001%2010%20CodeMash%20CustomVision

In the source code you can find the console and Windows 10 app samples I’ve coded live and also the exported images of my custom vision demo project in windows, linux and raspberry pi flavors. The 3rd one is where I spent some time updating the original linux one to work on the small device.

And as usual a couple of interesting links

Greetings @ Sandusky, Ohio

El Bruno

#Event – I’ll be at @CodeMash on Ohio in 17 days sharing some #AI and #CustomVision experiences

codemash-logo

Hi!

I’m going to be part of one of the most amazing developer events in NA: CodeMash (http://www.codemash.org/). It will be my first time in Ohio, and also it will be an amazing opportunity to network and have some face-to-face chats with some amazing people. (Just look at the Speaker List)

I was also lucky to host a session around Artificial Intelligence with Cognitive Services at Enterprise Level. The latest announcements of containers and Cognitive Services are ready on time for this!

How a PoC at home can scale to Enterprise Level using Custom Vision APIs

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.

Session List: http://www.codemash.org/session-list/

Happy coding and see you there!

Greetings @ Toronto

El Bruno

#Event – Resources for the session [Getting Started with Machine Learning.Net & Windows Machine Learning] on the Tech Valley .NET UG @TUVG

Hi!

Another post-event post, this time with a big thanks to Chris Miller (@anotherlab) and to all the members of the Tech Valley .NET User Group. We had an amazing time, via Skype in the session about Windows ML and Machine Learning.Net.

As usual, now it’s time to share slides, code and more.

Source Code GitHub https://github.com/elbruno/events/tree/master/2018%2012%2018%20TechValley%20NetUG%20MLNet

And some Machine Learning.Net resources:

Resources

Greetings @ Toronto

El Bruno

#Event – Materials and resources for ALMOST ALL SESSIONS of the #GlobalAIBootcamp in Toronto

GlobalAIBootcamp Pano

Hi!

Wow, our the first Global AI Bootcamp in Greater Toronto Area at Microsoft office was a huge event! We had around 200 attendees and participants and tons of amazing sessions.

A big thank to everyone who participated in the event: Attendees, Speakers, Support team, Microsoft employees, Avanade employees and more.

And I’m starting to collect the materials we used during all sessions and share all here in this GitHub Repo https://github.com/elbruno/GlobalAIBootcampToronto

For more details, take a look at Ehsan post in LinkedIn

Today Dec 15, Metro Toronto .NET User Group hosted the first AI Bootcamp in Greater Toronto Area at Microsoft office at Mississauga.

We had around 200 attendees and participants on this global event. Bruno Capuano & I would like to thanks Iman Abudagga, Ozge Yeloglu, Betsy Weber, Asmita Usturge Margaryta Ostapchuk, Max Vu from Microsoft for their full support.

As well as our great organizers team including Luca Gobbi,Armin Karimi,Ali Mosabebi, Prasad Kamat (PK), Obi Oberoi, Arlan Nugara,David Rodela, Fatih Furkan İnciroğlu

And our sponsors Microsoft and Avanade. And all our speakers Vivek Patel,Ashraf Ghonaim Hisham Qaddoumi , Kumar VN, Noman SIddiqui & Maria Acevedo, Jucinei Pereira Dos Santos, Kanwal Khipple, Mathias Tello, Serhiy Shyyko

Agenda here: https://lnkd.in/eUBeHGr

Greetings @ Toronto

El Bruno