Chasing Genius

Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand the structure of data and fit that data into models that can be understood and utilised by people. Two of the most widely adopted machine learning methods are supervised learning and unsupervised learning. Supervised Learning Supervised learning works as a supervisor or teacher. Basically, In supervised learning, we teach or train the machine with labeled data (that means data is already tagged with some predefined class). Then we test our model with some unknown new set of data and predict the level of them. Types of supervised learning: Regression: Predicts continuous outcome Classification: Predicts categorical outcome. (Outcome=Yes or No, Black or White) Unsupervised Learning In unsupervised learning there would be no correct answer and no teacher for guidance. Algorithms need to discover the interesting pattern in data for learning. In my mode...