.net core Azure Cognitive Services Testing Entity Framework ai
Brisbane, Queensland, Australia
Jernej Kavka (JK) is an SSW Solution Architect, Microsoft AI MVP and organizer of the Brisbane AI user group. JK is a full-stack .NET developer, but his passion lies in Azure Cognitive Services, AI and machine learning. He is the main architect behind SSW's virtual receptionist - SophieAI: https://sswsophie.com
He is also very active in the developer community and enjoys speaking at conferences like NDC, DDD, as well as User Groups and Hack Days.
Jernej ima več 10 let izkušenj s razvijanjem aplikacij za velika podjetja v Avstraliji kot tudi v Sloveniji.
Trenutna orodja za razvoj so .NET Core, Angular, EF Core in Microsoft Cognitive Services.
Want to get started with machine learning but don't know where to start? Have you got an Excel spreadsheet, SQL Database or CSV lying around and wondering if you can use it to experiment with Machine Learning?
In this workshop, we'll start from a CSV exported by a service, and go all the way to an application that uses Machine Learning to make clever decisions.
We will cover:
1. What does a developer need to know about Machine Learning?
2. How does ML.NET help getting started with ML?
3. Quickly prototype a solution with ML.NET Model Builder
4. Improve solution with simple data science rules
5. Integrate a machine learning solution into your application
6. Continuously improving machine learning model and updating applications
Are you still collecting your feedback on paper handouts? Red, yellow, green feedback is faster, but what do you do with that? It’s so time-consuming to go through the feedback forms afterward and maybe you just don’t bother. What if you could collect feedback on a custom form, collate the data and get actionable results before your coffee gets cold?
Join me on the journey from waiting weeks to get feedback from the user group talks to have the results in less than an hour for each event. You’ll see how you can use Form Recognizer to parse the data straight from the page, what you can and can’t do right now, as well as how you can leverage other Cognitive Services to get more details from the user feedback forms!
Unit testing can be hard especially when databases are involved.
In this talk, JK will teach you how to include EF Core to simplify testing of “Will this actually work on a real DB” while keeping the tests self-contained and repeatable.
Also walk away knowing how cool the combination of EF Core in-memory and the SQLite DB provider is.
This session is all about Microsoft Face API in practice!
JK the man behind sswSophie.com will cover what it means to use Microsoft Cognitive Services in real-time, why offline detection libraries are essential and why you should use infrared and depth cameras like Kinect and Intel RealSense in your applications.
JK, the man behind www.sswSophie.com, will cover what it means to use Microsoft Cognitive Services in real-time, why offline detection libraries are essential and why you should use infrared and depth cameras like Kinect and Intel RealSense in your applications.
YouTube video: https://www.youtube.com/watch?v=KCSyRO0KotA
Delivered in January 2019 in Melbourne, Canberra, and Sydney.
Here is the demo project built with C#, OpenCV and Cognitive Services:
https://github.com/jernejk/RealTimeFa...
Here are some of the frameworks for offline face detection:
C# ↴
- UWP
https://msdn.microsoft.com/en-us/maga...
- OpenCV
https://github.com/shimat/opencvsharp
JavaScript ↴
- TensorFlow.js
https://js.tensorflow.org/
- BRFv4 https://github.com/Tastenkunst/brfv4_...
--- About the presenter ---
With around 10 years of experience in software engineering, Jernej has worked on full-stack .NET development, mobile applications, and Microsoft Cognitive Services. He worked for some of Australia's largest corporations, with great customer satisfaction.
Do you want to try machine learning, but don't want to invest too much time learning a new programming language or some other complicated API?
Microsoft recently launched ML.NET 1.4 which is a great entry point for .NET developers and to gain experience building something with Machine Learning.
With the recent release of ML.NET Model Builder, we can create machine learning models by attempting to import raw data first and over time curate the data, to get better results.
JK will show you how ML.NET works, how to leverage Model Builder, experiment with training data and what to watch out for when building models.
NDC Sydney 2020 |
11 Oct 2020 - 15 Oct 2020
Sydney, New South Wales, Australia
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NDC Minnesota 2020 - Online Workshop Event |
8 Sep 2020 - 11 Sep 2020
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Virtual Global AI on Tour 2020 Melbourne Australia |
19 Jun 2020
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The Virtual ML.NET Community Conference |
29 May 2020 - 30 May 2020
|
Global Azure Virtual |
22 Apr 2020 - 24 Apr 2020
Seattle, Washington, United States
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NDC Porto 2020 |
20 Apr 2020 - 23 Apr 2020
Porto, Portugal
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Global AI Bootcamp - Brisbane 2019 |
13 Dec 2019
Brisbane, Queensland, Australia
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NDC Sydney 2019 |
13 Oct 2019 - 17 Oct 2019
Sydney, New South Wales, Australia
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DDD Sydney 2019 |
20 Sep 2019
Sydney, New South Wales, Australia
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DDD Melbourne 2019 |
9 Aug 2019
Melbourne, Victoria, Australia
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Brisbane Azure Global Bootcamp 2019 |
26 Apr 2019
Brisbane, Queensland, Australia
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Global AI Bootcamp - Brisbane |
14 Dec 2018
Brisbane, Queensland, Australia
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DDD Sydney 2018 |
17 Aug 2018
Sydney, New South Wales, Australia
|