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C#/ML.NET Machine Learning Masterclass

by Mark Farragher

Languages: German, English, Dutch

Price (from): €1,000 / day

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About the trainer:

Mark is a serial entrepreneur and the author of 12 successful IT courses in the Udemy marketplace. His career spans over two decades during which he has been a Founder twice and CTO three times. He has launched two successful lean startups in The Netherlands.

Mark became a Microsoft Certified Trainer in 2005 and started training classes in full stack development. Today he uses his extensive knowledge of IT to help CIOs, CTOs, architects, and forward-looking tech professionals to make sense of AI, Machine Learning, and Computer Vision.

Mark is a certified Microsoft Trainer and Scrum master. He speaks fluent English, Dutch, and German.


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C#/ML.NET Machine Learning Masterclass by Mark Farragher

About the training

#Machine Learning   #Deep Learning   #Data Science

In this training you will learn how to build machine learning applications and deploy them in your own organization. You will learn all about loading and processing data, creating regression models, evaluating predictions, classify and cluster data, improve models by combining them into ensembles, and many other AI tricks.

You will learn how to smartly implement AI and machine learning techniques in business software. We will cover use case like automatic text analysis, revenue growth prediction, suspicious transaction flagging, and many others.

During the course Mark Farragher will share many tips and tricks on how you can start introducing AI and data science functionality to your business today with just a few lines of code.

Learning outcomes

Learn actionable C# skills

You will learn actionable skills to implement machine learning in C# in your own organization

Gain understanding

You will understand what machine learning is all about and what different kinds of AI algorithms exist

Avoid the pitfalls

You will learn many common pitfalls when deploying machine learning projects in businesses

See useful examples

You will work with many working example apps that solve actual business problems with AI


  • Regression

  • Classification

  • Neural Networks

  • Decision Trees

  • Ensemble Learning

  • Clustering

  • Recommendation Systems

Main benefits

  • #Wide collection of the biggest experts
  • #Filters for all kinds of needs
  • #User friendly platform
  • #Fast and cheap
  • #Highest level of proficiency

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