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 training can be carried out locally on customer premises in Recife or in NobleProg corporate training centers in Recife.
NobleProg -- Your Local Training Provider
Recife - JCPM Trade Center
60 Eng. Antonio de Goes Avenue, 7º and 14º floor, , Recife, Brazil, 51010-000
The Recife JCPM Trade Center is in a 20-story building. The center has access to a helipad and five floors of parking. It is 10km from Guararapas International Airport.
Recife, Cicero Dias - Shopping Center Recife
Rua Padre Carapuceiro, 858 , Recife, Brazil, 51020-280
The business center is located in the Cicero Dias Tower, part of a prestigious complex of five buildings, the Queiroz Galvão Center. Its stands out for its distinctive architecture and for being located in an area with a consolidated entrepreneurial vocation. The business center has a privileged position in Pernambuco, in one of the greatest development axis of northeastern Brazil. The business center is walking distance to one of the Recife's greatest shopping centers and from Shopping subway station. It is also 30 minutes away from the Port of Suape, one of the most important seaports in the country and a 7-minute drive from Guararapes International Airport.
This instructor-led, live training in Recife (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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