This article will get you started with the fundamentals of Machine Learning and how to get started with Machine Learning with .NET Core i.e. ML.NET. We will even learn different concepts of Machine learning with a brief overview.

Introduction to Machine Learning

Today’s world is full of data and it is increasing day by day. There is a never-ending list of videos to watch, images to view, music to listen to, restaurants to visit, articles to read, stock market data, and we as humans are generating lots of data by the choices we make i.e. videos we watch, the music we listen to, restaurants we visit, etc.

Machine learning is all about computer algorithms that can make some sense out of the data available in the world today. Machine Learning algorithms improve through the experience without any code changes. For computers, this experience is in the form of data. Experience is built by feeding all this data to the algorithm and this data allows the algorithm to learn and build a model. This data which is fed to algorithms for learning is also known as Traning Data. Based on Training data the Machine Learning algorithm builds a model that allows it to make predictions or decisions without being explicitly programmed to do so.

Machine learning algorithm tries to identify the patterns in the data provided and based on this pattern tries to build a model. Once the model is built then additional data, which was not part of training data, is fed to the model to understand the efficiency and correctness of the model built.

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