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. Grenoble onsite live ML.NET trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Grenoble, Centre Ville Proche Gare
NobleProg Grenoble, 34 avenue Felix Viallet, Grenoble, france, 38000
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in...
Training courses can be organised at our premises in Grenoble, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Grenoble or at the NobleProg corporate training centers in Grenoble.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
This instructor-led, live training in Grenoble (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.
Online ML.NET training in Grenoble, ML.NET training courses in Grenoble, Weekend ML.NET courses in Grenoble, Evening ML.NET training in Grenoble, ML.NET instructor-led in Grenoble, ML.NET trainer in Grenoble, ML.NET one on one training in Grenoble, ML.NET classes in Grenoble, ML.NET boot camp in Grenoble, Online ML.NET training in Grenoble, ML.NET instructor-led in Grenoble, Weekend ML.NET training in Grenoble, ML.NET private courses in Grenoble, ML.NET instructor in Grenoble, ML.NET on-site in Grenoble, Evening ML.NET courses in Grenoble, ML.NET coaching in Grenoble