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, etc. Supervised learning: The value of the target variable must Read more…

AI brain

What is Machine Learning in Artificial Intelligence and What are it’s applications?

What is Machine Learning? Machine Learning is the use of computers to highlight the true meaning of the data, in order to convert the unordered data into useful information. It is a multi-disciplinary subject involving many disciplines such as probability theory, statistics, approximation theory, convex analysis, and algorithm complexity theory. Specializing in Read more…