Machine Learning Tutorial
This tutorial aims to introduce you to the world of machine learning. Newcomers often struggle to grasp the philosophy of machine learning. They also don't know where to begin or which problems can and should be solved using machine learning tools and techniques. This tutorial aims to provide newcomers with a starting point for their journey into machine learning. It begins with a historical journey in this field and progresses to show modern-day applications.
More than 20 years have passed since a computer program defeated the reigning world champion in a game that requires a high level of intelligence to play. Deep Blue, an IBM computer program, defeated world chess champion, Gary Kasparov. That was probably the time when most people paid serious attention to a rapidly evolving field in computer science, or more specifically artificial intelligence — i.e. machine learning (ML).
Evolution of Machine Learning
Types of Machine Learning
Difference between Supervised, Unsupervised, and Reinforcement Learning
Machine Learning Activities
Types of Data in Machine Learning
Basics of Feature Engineering
Classification
Classification Learning Steps
k-Nearest Neighbour (kNN)