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 Belfast can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Belfast
Cromac Square, Belfast, united kingdom, BT2 8LA
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner sit...
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner site in Belfast's city centre.
It is strategically positioned in a major business area alongside some leading financial and IT institutions, at the apex for main arterial routes through the city and close to major entertainment and retail zones.
Belfast has benefited from sustained investment and rapid economic growth and is now a flourishing and confident city where business is prospering, visitor numbers are increasing and more and more people are drawn to the city to live, work, shop, visit and play.
It has one of the most highly qualified workforces in Europe and has seen strong growth in the knowledge sectors, particularly the financial services, biotechnology, environmental and creative industries as well as having rich and varied cultural and social sectors.
The centre has Life Size Video Conferencing available with Polycom 7000HDX video conferencing, screen sharing and up to 10 sites connectivity Bridging ISDN and IP services available.
This instructor-led, live training in Belfast (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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