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 Orleans can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Orléans, Central Station
NobleProg Orléans, 43 Avenue de Paris, Orléans, france, 45000
La Factory offers renovated offices in the heart of the city of Orléans, near the Central Station. Train, tram, buses, and s...
La Factory offers renovated offices in the heart of the city of Orléans, near the Central Station. Train, tram, buses, and shops are near the building (with elevator). There are 300 m² of offices, Factory offers shared offices and individual offices for 1 to 5 people, equipped or not. The offices are very bright (natural light), and have just been renovated in a "design spirit". Services include ADSL Internet via wifi, a large meeting room. All charges are included: electricity, heating, internet, common areas. It is possible to obtain many additional services: direct debit, telephone line, parking, access 24/24 and 7/7 days ... La Factory is also a service for direct debit and rental of the meeting room for external companies Nonresidents. The meeting room (32 m² / 12 seats), like the other offices, has just been renovated. Services include ADSL Internet via wifi and other charges (electricity, heating, cleaning). Many services are also available, on demand: video projector, coffee machine with pods, tea, chocolate, catering service, drinks, conference call service.
This instructor-led, live training in Orleans (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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