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. Nova Scotia onsite live ML.NET trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Halifax - Purdy Wharf
1959 Upper Water Street, Halifax, Canada, B3J 3N2
Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has ...
Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has a bus stop right outside, 3 blocks from Citadel Hill Historic Site and Halifax City Hall.
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and ...
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
Truro - Commercial Street
1 Commercial St., Truro, Canada, B2N 3H8
Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location usin...
Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location using the nearby Truro Station, and if you’re driving, Trunk 2 and Trunk 4 highways intersect in the town.
This instructor-led, live training in Nova Scotia (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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