Online or onsite, instructor-led live ML.NET training courses demonstrate through interactive hands-on practice how to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications..
ML.NET training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live ML.NET trainings in New Zealand can be carried out locally on customer premises or in NobleProg corporate training centers.
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Testimonials
It was interesting and well explained.
Oana Pancea, DB Global Technology
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hands on training
Robert Badeloe
Course: IIS 7 and ASP.NET Administration
It was interactive, I could ask many questions and the instructor would modify his lecture to answer my questions
Cynthia Rodriguez - RoyalRoads University
Course: Programming using ASP.NET MVC 4
I appreciated Fulvio's wide breadth of knowledge. Not only was he familiar with the course content, but he also knew of constructs in languages we were familiar with to make examples more meaningful to us. During intervals he shared his knowledge of technologies and solutions outside the training scope to provide insights into other solutions we could use in future (and future training).
Raphael Keymer - Markit Valuations Limited
Course: Developing Desktop Applications with Visual Studio 2012, VB.NET and SQL Server 2012
Learning about C# and it's capabilities.
Braintree by Vox Telecom (Pty) Ltd
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All the knowledge acquired through the training sessions
Jorge Romero
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It was a compact and well delivered one
Antonio Rojas
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Well prepared, and covered a lot in 3 days. Trainer tries to make sure everyone understands the topics, and that everyone is comfortable to move on to the next topic.
Capgemini Nederland B.V.
Course: SpecFlow: Implementing BDD for .NET
I enjoyed the feature file and corresponding steps creation.
FNZ Holidings Limited
Course: SpecFlow: Implementing BDD for .NET
The Practical side of the course - the whole point of an instructor is to have someone to call on when difficulties are encountered. Definitions of Scrum and Product Owners etc. can be studied without the need for an instructor. But using Visual Studio, getting Specflow up and running and using it right - these are the elements of training that require an instructor. These practical hand-on exercises are the elements I liked the most. I would have liked more of this.
FNZ Holidings Limited
Course: SpecFlow: Implementing BDD for .NET
It was in depth and to the point.
Anita Salihi, Experian
Course: RabbitMQ with .NET
Manpreet(Trainer ) was well prepared and he knows what is doing and teaching.
AIP Publishing
Course: RabbitMQ with .NET
That it was very practical
FreelyIT
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Trainer shared a lot of insights base on his vast experience and good learning for us
Chua Wan Jia, SMRT Corporation Ltd
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ML.NET Course Outlines in New Zealand
Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in New Zealand (online or onsite) is aimed at data scientists and developers who wish to use ML.NET machine learning models to automatically derive projections from executed data analysis for enterprise applications.
By the end of this training, participants will be able to:
- Install ML.NET and integrate it into the application development environment.
- Understand the machine learning principles behind ML.NET tools and algorithms.
- Build and train machine learning models to perform predictions with the provided data smartly.
- Evaluate the performance of a machine learning model using the ML.NET metrics.
- Optimize the accuracy of the existing machine learning models based on the ML.NET framework.
- Apply the machine learning concepts of ML.NET to other data science applications.
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