Introduction To Ml.Net Or Machine Learning With .Net

Understand Machine Learning and how to use it with .NET and C# in a real world application using different examples

What you'll learn
Understand what is Machine Learning
Machine Learning basic concepts
Machine Learning with .Net technologies
ML .Net
Create Machine Learning Models
Machine Learning Algorithms
Basic understanding about Data Science
How Machine Learning works with examples
Creating machine learning models using .net technologies
Requirements
Basic understanding of C#
Basic knowledge of using Visual Studio
Description
This course will help students understand what is Machine Learning, the process involved in Machine Learning and how we can do Machine Learning using .NET technologies or Libraries. This course throws light on some of the Machine Learning concepts, its applications, steps involved in building models and consuming those models using C#, .NET and Visual Studio. This course explains the steps involved in building models using different examples and different algorithms suited for each of the scenarios.

Who this course is for:
C# Developers curious about data science,Machine Learning aspirants wanting to implement machine learning with .net,Web developers interested in getting started with Machine Learning,Software engineers interested in getting started with Data Science,Software Developers interested in getting started with Data Science,Software Developers interested in getting started with Machine Learning,Software engineers interested in getting started with Machine Learning,Newbies to Machine Learning,Newbies to Data Science,C# developers interested in Machine Learning,Developers interested in understanding predictive algorithms