Machine Learning Basics
Machine Learning Basics Introduction Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. The term "Machine Learning" was coined by Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence in 1959 while at IBM. Machine learning can be broadly classified into the following: Supervised Machine Learning: Here the program or model is trained on a set of training examples or historical data which will help it to give accurate results when new data is given. Unsupervised Machine Learning: This is purely data driven. The program is given huge amount of data and it should then evaluate patterns and relationships from it. Reinforcement Machine Learning: Here the program learns from the environment that it is in through past experiences and then continuously improves itself. Supervised Machine Learning is classified broadly in...