#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

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#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 – 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 – 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 – #GlobalAIBootcamp, Keynote

Hi !

On the 15th of December the Global AI Bootcamp takes places and kicks-off with a 30 minute global keynote on 67 venues worldwide!

Don’t miss out on Jennifer Marsman, Tess Ferrandez, Seth Juarez, Damian Brady, Hanna Wallach, Nilesh Acharya, Amy Kate Boyd, Eric Boyd and more kicking of this day packed with workshops and talks on AI

And, in the local Mississiauga edition, we will be honored to have Ozge Yeloglu talking about Ethical Artificial Intelligence!

 

global ai bootcamp keynote v2

Greetings @ Toronto

El Bruno

#MachineLearning – Free Ebook [A Developer’s Guide to Building AI Applications] from Anand Raman and Wee Hyong Tok

FreeEBook A Developer s Guide to Building AI Applications

Hi!

A few days ago I wrote a post about a free ebook download [Pattern Recognition and Machine Learning] from Christopher Bishop.

Today we had the chance to also download another amazing Artificial Intelligence eBook from Anand Raman and Wee Hyong Took: [A Developer’s Guide to Building To Applications]. This one, is much more oriented to the use and integration of Artificial intelligence during application development.

Next, an amazing copy&paste with the description of the book

Artificial intelligence (AI) is accelerating the digital transformation for every industry, with examples spanning manufacturing, retail, finance, healthcare and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this eBook, Anand Raman and Wee Hyong Tok from Microsoft provide a comprehensive roadmap for developers to build their first AI-infused application.

Using a Conference Buddy as an example, you’ll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers. This eBook provides a gentle introduction to the tools, infrastructure and services on the Microsoft AI Platform, and teaches you how to create powerful, intelligent applications.

  • Understand how the intersection of cloud, data and AI is enabling organisations to build intelligent systems.
  • Learn the tools, infrastructure and services available as part of the Microsoft AI Platform for developing AI applications.
  • Teach the Conference Buddy application new AI skills, using pre-built AI capabilities such as vision, translation and speech.
  • Learn about the Open Neural Network Exchange.

Download https://info.microsoft.com/ww-landing-ai-developers-bot-ebook.html

Greetings @ Toronto

El Bruno

#MachineLearning – Ebook Gratis [A Developer’s Guide to Building AI Applications] de Anand Raman y Wee Hyong Tok

FreeEBook A Developer s Guide to Building AI Applications

Buenas!

Hace unos días comente que podíamos descargar gratis el libro [Pattern Recognition and Machine Learning] de Christopher Bishop.

Hoy Anand Raman y Wee Hyong Tok tambien nos ofrecen acceso gratuito a su libro [A Developer’s Guide to Building AI Applications], que está mucho más orientado a la utilización e integración de Inteligencia Artificial durante el desarrollo de aplicaciones.

A continuación, un copy&paste descarado con la descripción del libro

Artificial intelligence (AI) is accelerating the digital transformation for every industry, with examples spanning manufacturing, retail, finance, healthcare and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this eBook, Anand Raman and Wee Hyong Tok from Microsoft provide a comprehensive roadmap for developers to build their first AI-infused application.

Using a Conference Buddy as an example, you’ll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers. This eBook provides a gentle introduction to the tools, infrastructure and services on the Microsoft AI Platform, and teaches you how to create powerful, intelligent applications.

  • Understand how the intersection of cloud, data and AI is enabling organisations to build intelligent systems.
  • Learn the tools, infrastructure and services available as part of the Microsoft AI Platform for developing AI applications.
  • Teach the Conference Buddy application new AI skills, using pre-built AI capabilities such as vision, translation and speech.
  • Learn about the Open Neural Network Exchange.

Y por supuesto la descarga desde aquí https://info.microsoft.com/ww-landing-ai-developers-bot-ebook.html

Saludos @ Toronto

El Bruno

#Event – Global AI Bootcamp, session list

global ai bootcamp

Hi !

This is complete list of sessions for the Global AI Bootcamp in Toronto

Registration: https://www.eventbrite.ca/e/global-ai-bootcamp-2018-microsoft-canada-mississauga-hq-tickets-53224085673

Kanwal Khipple

Introduction to Microsoft Cognitive Services and AI

New to the Microsoft AI space? Attend this session to learn the different Microsoft services tailored to AI. We will also get a chance to review the powerful pre-built models that comprise Microsoft Cognitive Services and see how much can be achieved in just a few minutes with the Custom Vision service.

Room 2
Sat 10:45 AM – 11:30 am

Kumar VN

ML on Azure Databricks

This session provides an introduction to using Spark ML on Azure Databricks

Room 1
Sat 10:45 AM – 11:30 am

Bruno Capuano

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.

Room 3
Sat 11:30 AM – 12:00 pm

Ehsan Eskandari

Intelligence on Azure IoT edge

This sessions is a high level overview of AI on Azure IoT Edge

Room 2
Sat 11:30 AM – 12:00 pm

Margaryta Ostapchuk

Predictive Analytics with Spark in Azure Databricks

You can attend this session to get an overview of how to use Spark to do Machine Learning in Azure Databricks

Room 1
Sat 11:30 AM – 12:00 pm

Armin Karimi

Building an AI enabled cross platform app in under 1 hour

It is easy for humans to look at an image and differentiate between people and objects between them. But these are actually hard problems to solve with a computer and requires expertise to implement.

In this presentation, we are going to build a cross platform Xamarin App which leverages Microsoft Face API, Azure Functions, and Azure Storage, to create a random winner photo application. We are going to see how Microsoft has created developer friendly tools to use AI in your applications using your existing knowledge.

Room 1
Sat 12:30 PM – 1:15 pm

Margaryta Ostapchuk

Cognitive Services: out of the box, custom, in containers

During this session we will discuss cognitive services and how you can use them out of the box, customize with your own data. Several of the Azure Cognitive Services APIs are available as Docker containers: you can download a container that provides the exact same APIs as the cloud-based services, and run it on a local Linux-based server or edge device.

Room 2
Sat 12:30 PM – 1:15 pm

Noman SIddiqui and Maria Acevedo

UX of AI: Why it Matters?

An overview about the need and relevance of user-experience design and Cognitive Psychology principles pertaining to AI, (including behaviour-based bots, chatbots, AR and machine learning).

Room 3
Sat 12:30 PM – 1:15 pm

Vivek Patel

AI Capabilities for Power BI

With the massive volumes of data generated today about every aspect of a business finding insights from the data can be challenging. This is where AI can help. AI can aid in data exploration, comb through the data to automatically find patterns, help users understand what the data means, and predict future outcomes to help business drive results.

There are huge opportunities when workers across an organization can leverage AI for improving business outcomes. But data scientists, who are crucial to deploying AI solutions, don’t have the bandwidth to provide custom solutions to all users at an organization. Businesses need ways to surface the valuable work of data scientists and empower more users to leverage AI in easy and intuitive ways.

Power BI has been a pioneer in applying AI through capabilities such as natural language, which enables users to get answers by asking questions in plain English, or Quick Insights, which automatically finds patterns in data.

This session is demo intense.

Room 1
Sat 1:15 PM – 2:00 pm

Mathias Tello

Microsoft Cognitive Services – LUIS

LUIS is a machine learning-based service to build natural language processing into applications. We will be taking a close look on how to use LUIS as well as maintain LUIS applications

Room 3
Sat 1:15 PM – 2:00 pm

Hisham Qaddoumi

The Age of “QauantAzure”: Democratizing Quantum AI computing with Azure Cloud

Quantum Computing was only available by organizations with a lot of money till Microsoft Azure decided that the age of Quantum Monopolizing is OVER. Now with Q-Cloud and Quantum Development Kit (QDK) you can achieve wonders utilizing Quantum for your AI solutions.
Topics include:
1- What is Quantum Computing?
2- Why Quantum Computing? Why Now?
3- Solving problem with Quantum vs Classic Computing
4- Applied Quantum
5- Azure Q-Cloud
6- Q# and QDK
7- Quantum Gates (H, CNOT, Z and X)

Room 2
Sat 1:15 PM – 2:00 pm

Luca Gobbi

Chatbots, Serverless and AI on Azure

This series will show that prototyping a working system is easier than ever! We will build an interactive chat-bot with machine learning skills covering all the steps from allocating cloud resources, coding and deploying. Attendees will learn about Azure Cloud Platform, Serverless Functions, Chat-bots, REST APIs, HTTP protocols, C#, understanding documentation and how to connect components and services together to create simple but creative systems

Room 1
Sat 2:30 PM – 4:45 pm

Kanwal Khipple

Leverage Bots in your Digital Workplace

Attend this session to better understand the benefit of bots and how integrating them into your organization can help common tasks automated. It’s the first step toward better integration between business applications together. At the end of this session, we’ll demo bots and sample solutions currently available in the Office 365 space.

Room 3
Sat 2:30 PM – 3:15 pm

Jucinei Pereira Dos Santos

Set up a ChatBot From Zero To hero with Bot Framework

In this workshop, will presented how can we set up a chatbot. Using Microsoft Bot Framework is possible to set up a chatbot of the easy way and faster. During the presentation will present the integration of chatbot with, Microsoft Azure, Luis and Qna Maker from zero to Hero.
This workshop will be divided into three sections:
– Development environment setup;
– LUIS Integration;
– QnA Maker Overview.

All of the demos will be running in visual studio 2017 using c# as a language.

Room 3
Sat 3:15 PM – 4:00 pm

Serhiy Shyyko

Bot framework and LUIS BFF

By integrating LUIS into the Bot Framework we can allow our bots to be more intelligent and understand human intents and make complex response.
Bot Framework v4 and LUIS are true BFFs.

Room 3
Sat 4:00 PM – 4:45 pm

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Greetings @ Toronto

El Bruno