this is 3 hours speech for non IT related students.
I briefly introduce chat bot application, learning path, restful api, and Microsoft bot framework. Finally I run my skype bot project and explain how it works.
The topic shows the design process for software architect.Also there are serveal architect style descibed int the topic.
In the end , to demo a call center atchitect design.
此份簡報是 Will 保哥在【Modern Web 2015】的演講內容。
Web技術的變化之快速,不再有任何一家公司或團體可以主導其走向,即便軟體界的巨人微軟也不例外,ASP.NET經過了十多年的發展與演進,終於來到了一個架構翻新的時刻,即將推出的ASP.NET 5到底從架構面、工具面做出了哪些創新與變革,將在這場演說中一一展現。
this is 3 hours speech for non IT related students.
I briefly introduce chat bot application, learning path, restful api, and Microsoft bot framework. Finally I run my skype bot project and explain how it works.
The topic shows the design process for software architect.Also there are serveal architect style descibed int the topic.
In the end , to demo a call center atchitect design.
此份簡報是 Will 保哥在【Modern Web 2015】的演講內容。
Web技術的變化之快速,不再有任何一家公司或團體可以主導其走向,即便軟體界的巨人微軟也不例外,ASP.NET經過了十多年的發展與演進,終於來到了一個架構翻新的時刻,即將推出的ASP.NET 5到底從架構面、工具面做出了哪些創新與變革,將在這場演說中一一展現。
這是 Will 保哥在【微軟技術關卡破解日】的演講簡報,探索 ASP.NET MVC 5.0 與 ASP.NET MVC 5.1 的各種新功能增強,包括如何從 ASP.NET MVC 4 升級至 ASP.NET MVC 5 等實戰主題。
Will 保哥的技術交流中心
https://www.facebook.com/will.fans
Awwvision: Cloud Vision API from a Kubernetes Cluster
Classify Images of Clouds in the Cloud with AutoML Vision
Implementing an AI Chatbot with Dialogflow
Classify Text into Categories with the Natural Language API
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
Microsoft recommendation solution on azureDuran Hsieh
It is a big-data and AI workshop in National Yunlin University of Science and Technology. I have two sessions this workshop:
1. SEO (2hours)
2. Microsoft recommendation solution on Azure (3hours)
I introduce what is data mining, recommendation system, and Azure. I also show:
1. Participant how to deploy recommendation solution to azure
2. How to use azure storage
3. How to use recommendation solution