supervised & unsupervised

Supervised learning,Unsupervised learning and Reinforcement learning in Machinelearning

Classification: Divide instance data into appropriate categories. Application example: Determine whether the website is hacked (two classifications), automatic recognition of handwritten digits (multi-classification) Regression: mainly used to predict numerical data. Application examples: forecasting of stock price fluctuations, housing price forecasts, Read more…