Title: A First Encounter with Machine Learning
Author: Max Weilling
Machine learning is a relatively recent discipline that emerged from the general field of artificial intelligence only quite recently.
To build intelligent machines, researchers realized that these machines should learn from and adapt to their environment. It is simply too costly and impractical to design intelligent systems by first gathering all the expert knowledge ourselves and then hard-wiring it into a machine. The field of machine learning is multifaceted and expanding fast.
To sample a few sub-disciplines: statistical learning, kernel methods, graphical models, artificial neural networks, fuzzy logic, Bayesian methods and so on. The field also covers many types of learning problems, such as supervised learning, unsupervised learning, semi-supervised learning, active learning, reinforcement learning etc.
“A First Encounter with Machine Learning” only covers the most basic approaches .Instead of trying to cover all aspects of the entire field a few popular and perhaps useful tools are defined. This helps in grasping the fundamentals well.