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Зарежда Събития
Спонсори на събитието:
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За събитието

*The event will be in English.

This event is part of the DEV.BG’s Machine Learning user group.



What is ML.NET? This is a machine learning framework with a bulk of advantages: it’s free, cross platform, open source and made specifically for .NET developers. But let’s learn more about it within a webinar by Intellias. 

During the event, we’ll provide you with step-by-step instructions for creating a machine-learning model and a brief demonstration of this model. The scientific work of our speaker will serve as an example for use. We’ll also consider the genetic algorithm principles.



>>> General overview
>>> The flow of training an ML model
>>> Practical experience of the speaker
>>> Genetic algorithm 

>>> Q&A part.


This is an online event. Register and few hours prior to the event you’ll receive an attendance link.

User group: Machine Learning

Organized by: DEV.BG is a specialized Job Board for IT jobs.

Machine Learning jobs: If you are looking for a job related to the Machine Learning technology, view the job listings here.

November 8th, 12:30 pm

speaker bio
Vitalii Datsyshyn Vitalii Datsyshyn Senior Software Engineer Intellias

За лектора

Vitalii is an Azure certified developer. He has 4+ years of experience in IT, and has been involved mainly in various FinTech projects. His main hobby is football, and his favorite team is Liverpool. Vitalii frequently performs as a speaker for the Intellias community and hosts external tech events and meetups. 



Intellias is an international IT company with 2600 professionals. More than 2 billion people worldwide use technology products developed by Intellias engineers.

FactSet delivers superior analytics, service, content, and technology to help more than 88,000 users see and seize opportunity sooner.

Lab08 is one of the youngest software companies in Bulgaria, which develops products in the field of HR, consumer tests, social media and more. It is mainly made up of professionals with invaluable experience in building big data systems with multiple integrations.

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