
Local instructor-led live ML.NET training courses in България.
Oтзиви от потребители
Antonio Rojas
Course: IIS 8 and ASP.NET Administration
Machine Translated
Robert Badeloe
Course: IIS 7 and ASP.NET Administration
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Tomasz Kawecki
Course: Programming in C#
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Jorge Romero
Course: Programming in C#
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Żurański Kacper
Course: Programming in C#
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Jorge Romero
Course: Programming in C#
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Wilkie Yu
Course: UIPath: Deploying a Robotic Workforce
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FreelyIT
Course: RabbitMQ with .NET
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FNZ Holidings Limited
Course: SpecFlow: Implementing BDD for .NET
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FNZ Holidings Limited
Course: SpecFlow: Implementing BDD for .NET
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Natascha Hazeleger - Stichting Mitros
Course: UIPath: Deploying a Robotic Workforce
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Jan Jirka Rijsdijk - Stichting Mitros
Course: UIPath: Deploying a Robotic Workforce
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Jessica Zhou
Course: UIPath:部署机器人劳动力
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Playn'Go Ph Inc
Course: C# for Automation Test Engineers
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Arianne Grace Dave - White & Case Global Operations Center (Manila) LLP
Course: UIPath: Deploying a Robotic Workforce
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Eva Leung - 广州长濑贸易有限公司
Course: UIPath:部署机器人劳动力
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Sacha Mannion - BeyondTrust
Course: C# for Automation Test Engineers
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BeyondTrust
Course: C# for Automation Test Engineers
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AIP Publishing
Course: RabbitMQ with .NET
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ASALUS CORPORATION (Intellicare)
Course: Introduction to UiPath RPA - Three Day Workshop
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Bart Boeckx - FLUVIUS SYSTEM OPERATOR CVBA
Course: C# for Automation Test Engineers
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Fatemah Alhumydan - ELM
Course: C# for Automation Test Engineers
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Braintree by Vox Telecom (Pty) Ltd
Course: Programming in C#
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той беше ентусиазиран и се опита да оживи хората.
Preshan Seethal - Braintree by Vox Telecom (Pty) Ltd
Course: Programming in C#
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GE Medical Systems Polska Sp. Z O.O.
Course: Introduction to UiPath RPA - Three Day Workshop
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GE Medical Systems Polska Sp. Z O.O.
Course: Introduction to UiPath RPA - Three Day Workshop
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ML.NET Course Outlines
This instructor-led, live training (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.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.