#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

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#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

Call for Speakers powered by Sessionize.com

Greetings @ Toronto

El Bruno

#Event – Global AI Bootcamp final registration link and final agenda published

global ai bootcamp

Hi!

This one will be amazing

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

Welcome to Global AI Bootcamp 2018!

All around the world user groups and communities want to learn about AI and Machine Learning!

On Dec 15, 2018, all communities will come together once again in the first great Global AI Bootcamp event!

Each community will organize their own one day deep dive class on AI the way they see fit and how it works for their members. The result is that thousands of people get to learn about AI and join together online under the social hashtag #GlobalAIBootcamp !

THE MISSISSAUGA EVENT WILL BE A JAM PACKED DAY OF LEARNING AND FANTASTIC SPEAKERS ALL FROM YOUR LOCAL MICROSOFT COMMUNITY!

There is a nominal fee of $7 to help with venue, food, and beverage expenses.

AGENDA


9:00 AM – 10:00 AM => Registration & Breakfast


10:00 AM – 10:45 AM => Keynote


10:45 AM – 11:30 AM

MPR A: ML on Azure Databricks by Kumar VN

MPR B: Introduction to Microsoft Cognitive Services and AI by Kanwal Khipple

MPR C: ML Model Development and deployment using Azure ML SDK by Asmita Usturge


11:30 AM – 12:00 PM

MPR A: Predictive Analytics with Spark in Azure Databricks by Margaryta Ostapchuk

MPR B: Intelligence on Azure IoT edge by Ehsan Eskandari

MPR C: Getting Started with Machine Learning.Net and Windows Machine Learning by Bruno Capuano


12:00 PM – 12:30 PM => Lunch


12:30 PM – 1:15 PM

MPR A: Building an AI enabled cross platform app in under 1 hour by Armin Karimi

MPR B: Cognitive Services: out of the box, custom, in containers by Margaryta Ostapchuk

MPR C: UX of AI: Why it Matters? by Noman SIddiqui & Maria Acevedo


1:15 PM – 2:00 PM

MPR A: AI Capabilities for Power BI by Vivek Patel

MPR B: The Age of “QauantAzure”: Democratizing Quantum AI computing with Azure Q-Cloud by Hisham Qaddoumi

MPR C: Microsoft Cognitive Services – LUIS by Mathias Tello


2:00 PM – 2:30 PM => Break


2:30 PM – 4:45 PM

MPR A: Chatbots, Serverless and AI on Azure by Luca Gobbi

MPR B: Workshop and HOLs

MPR C:

2:30 PM – 3:15 PM => Leverage Bots in your Digital Workplace by Kanwal Khipple

3:15 PM – 4:00 PM => Set up a ChatBot From Zero To hero with Bot Framework by Jucinei Pereira Dos Santos

4:00 PM – 4:45 PM => Bot framework and LUIS BFF by Serhiy Shyyko


4:45 PM – 5:00 PM => Wrap up

Greetings @ Toronto

El Bruno

#Event – Less than 48 hours to close the Call 4 Speakers to #GlobalAIBootcamp in Toronto!

global ai bootcamp

Hi!

So far we got over than 400 attendees already registered for the Global AI Bootcamp, so it seems that we are going to close the year with an amazing event.

There is still time to close the Call 4 Speakers, and we are looking for sessions and workshops for:

  • Machine Learning
  • Deep learning
  • Cortana
  • Cognitive Services
  • Bot framework / LUIS
  • And any topic related to AI

we are looking for speakers to fill.

  • Speaking slots: 45 minutes
  • Lightning talk: 20/30 minutes
  • Workshops: From 90 minutes – 4 hours

The C4S is available in https://sessionize.com/global-ai-bootcamp—toronto/

And we also need some logistics and in place help, feel free to contact me for more details 😀

Happy coding!

Greetings @ Toronto

El Bruno

#Event – Menos de 48 horas para cerrar el Call 4 Speakers para #GlobalAIBootcamp de Toronto!

global ai bootcamp

Buenas!

Con mas de 400 personas preinscriptas, el Global AI Bootcamp promete ser un gran evento para cerrar el año.

Todavía quedan un par de horas para cerrar el Call 4 Speakers, si quieres dar una sesión o workshop sobre

  • Machine Learning
  • Deep learning
  • Cortana
  • Cognitive Services
  • Bot framework / LUIS
  • And any topic related to AI

Puedes presentar tu propuesta en https://sessionize.com/global-ai-bootcamp—toronto/

El formato puede ser uno de los siguientes

  •     Speaking slots: 45 minutes
  •     Lightning talk: 30 / 20 minutes
  •     Workshops: From 90 minutes – 4 hours

Y si además quieres ayudar con la organización, pues me puedes contactar y te comento algunas de las ideas que tenemos!

Happy coding!

Saludos @ Toronto

El Bruno

#AI – #AISchool, Free Artificial Intelligence OnLine courses. (Update)

00 AI School

Hi!

A couple of months ago I wrote a post about AI School https://aischool.microsoft.com/. A collection of free courses on Artificial Intelligence that are an excellent entry point for amateurs. Well, AI School It has matured a lot and has some changes that deserve to be mentioned.

For example, AI School It gives us the possibility to choose 4 different categories to start

Conversational AI

Intelligent bots have become an intuitive way to enable interactions between people and apps. The learning paths in this house will guide you through how to build these intelligent bots, and incorporate features like natural language processing and intent recognition, as well as other features to create delightful bot interactions in your apps and other channels.

AI Services

Intelligent bots have become an intuitive way to enable interactions between people and apps. The learning paths in this house will guide you through how to build these intelligent bots, and incorporate features like natural language processing and intent recognition, as well as other features to create delightful bot interactions in your apps and other channels.

Machine Learning

Machine learning allows computers to learn how to interpret and understand the world to provide insights to humans that would otherwise take manual efforts, be dangerous, time consuming, or costly. These learning paths will cover the essential concepts of AI and machine learning and show you how to apply custom AI solutions.

Intelligent Edge AI

Intelligent edge allows ML models to run on edge devices like cell phones, drones, robots, and other IoT devices. These learning paths will cover the essential concepts of how to build, train, and export these models so that they are compatible with these edge devices and then deployed for processing without the cloud.

Each of these categories offers different Learning Paths. Which are a collection of resources related to that category. For example, in Machine Learning we can find

ai school machine learning learning path

Inside AI School we can also access to AI Demos, which is a collection of online AI demos. Most of them based on Azure Cognitive Services

02 AI Demos

And finally, we have access to AI Lab, with more examples and real life scenarios of AI. However, to this one I will dedicate a more complete post in the future..

Winter is coming, so happy coding!

Greetings @ Toronto

El Bruno

Resources

#AI – #AISchool, cursos gratuitos de Inteligencia Artificial OnLine. (Update)

00 AI School

Buenas!

Hace un par de meses escribí sobre AI School https://aischool.microsoft.com/. Una colección de cursos gratuitos sobre Inteligencia Artificial que son un excelente punto de entrada para aficionados. Pues bien, AI School ha madurado bastante y tiene algunos cambios que merecen ser mencionados.

Por ejemplo, AI School nos brinda la posibilidad de elegir 4 categorías diferentes para comenzar

Conversational AI

Los robots inteligentes se han convertido en una forma intuitiva de habilitar las interacciones entre personas y aplicaciones. Las rutas de aprendizaje en esta casa lo guiarán a través de cómo construir estos bots inteligentes e incorporarán funciones como el procesamiento del lenguaje natural y el reconocimiento de intenciones, así como otras características para crear interacciones de bot encantadoras en sus aplicaciones y otros canales.

AI Services

Los servicios de AI permiten que los servicios de IA pre-construidos se infundan fácilmente en las aplicaciones existentes, sin tener que preocuparse por el modelo ML subyacente; todo el trabajo duro está hecho por usted. Ya sea que esté agregando reconocimiento facial o análisis de sentimientos o cualquiera de nuestros otros más de 30 servicios de inteligencia artificial a su aplicación, estas rutas de aprendizaje lo guiarán a través de cómo incluir estas características en sus aplicaciones rápidamente.

Machine Learning

Machine Learning permite que las computadoras aprendan a interpretar y entender el mundo para brindar información a los seres humanos que, de lo contrario, realizarían esfuerzos manuales, serían peligrosos, consumirían mucho tiempo o serían costosos. Estas rutas de aprendizaje cubrirán los conceptos esenciales de la IA y el aprendizaje automático y le mostrarán cómo aplicar soluciones de AI personalizadas.

Intelligent Edge AI

Intelligent Edge AI permite que los modelos ML se ejecuten en dispositivos de borde como teléfonos celulares, drones, robots y otros dispositivos de IoT. Estas rutas de aprendizaje cubrirán los conceptos esenciales de cómo construir, entrenar y exportar estos modelos para que sean compatibles con estos dispositivos de borde y luego se implementen para el procesamiento sin la nube.

Cada una de estas categorías nos ofrece diferentes Learning Paths. Que son una colección de recursos relacionados con esa categoría. Por ejemplo, en Machine Learning podemos encontrar

ai school machine learning learning path

Dentro de AI School podemos acceder a AI Demos, que es un recurso online de demos. La mayoría basados en Cognitive Services

02 AI Demos

Y finalmente, tenemos acceso a AI Lab, con más ejemplos y real life scenarios de AI. Sin embargo, a este ultimo punto le dedicare un post mas completo en el futuro.

Winter is coming, so happy coding!

Saludos @ Toronto

El Bruno

Resources

#Event – Getting Started with Machine Learning.Net & Windows Machine Learning on Nov 22 in Mississauga

abstract blackboard bulb chalk
Photo by Pixabay on Pexels.com

Hi !

So my friends from the Mississauga .Net User Group (link) were kind enough to invite me to host a session on November 22th, in TEK Systems in Mississauga. I’ll share some of the updates on ML.Net, currently in version 0.6 and some other very cool stuff around Microsoft and AI.

You can register to the event here and the formal description is:

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 basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.

Happy coding!

Greetings @ Toronto

El Bruno

Event – Artificial Intelligence and Machine Learning in #Azure on Nov 14 in Toronto

action android device electronics
Photo by Matan Segev on Pexels.com

Hi !

So my friends from the Azure Group Meetup (link) were kind enough to invite to host a session on November 14th, in the best place ever: Avanade Toronto office! So I’ll match an Innovation Day with a session or Artificial Intelligence in Azure.

You can register to the event here and the formal description is:

Join us for a review of AI, Machine Learning and Cognitive Services in Microsoft Azure. In this session we will discuss some of the most popular tools and frameworks available for AI in Azure: Cognitive Services, Azure Machine Learning, and the Azure Bot Service.

You will get to see lots of code and demos of some real world applications using the various different Cognitive services including vision, speech, and language.

Happy coding!

Greetings @ Toronto

El Bruno