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 Oxford can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Oxford
7200 The Quorum, Oxford, united kingdom, OX4 2JZ
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just insid...
The top-quality Oxford Business Park Centre is located in a modern building in Oxford's premier business district, just inside the ring road and a 40 minute drive from London. The park offers a thriving environment for businesses of all sizes, working in a range of sectors including engineering, electronics, telecommunications and government agencies. Over 45 local and international companies and about 4,000 people are based here and a number have chosen this as the location for their headquarters. All enjoy the park's excellent communications and amenities as well as its award-winning landscaping, with mature trees and shrubs, water features and cycle tracks. Oxford is known as the city of dreaming spires and world-famous for its ancient university, the oldest in the English speaking world. Today it is a bustling, cosmopolitan place with a growing and thriving business community, including many hi-tech companies.
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This instructor-led, live training in Oxford (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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