Aster is Machine Learning
Machine learning is not a new science. The original way to determine if a machine could learn was to observe the machine and try to distinguish a difference between a human and a machine response. But things have changed. Spend 10 minutes with our videos below, and dive into learning about today’s machine learning.
What is Machine Learning?
Machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the construction and study of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions.
Machine learning tasks are typically classified into three broad categories, depending on the nature of the learning "signal" or "feedback" available to a learning system. These are:
Machine learning and data mining often employ the same methods and overlap significantly. They can be roughly distinguished as follows: