Getting Started With Machine Learning Using Python

What Is Machine Learning?

Machine learning is a part of Artificial Intelligence that enables computers to learn automatically and improve themselves through experience. The primary focus of machine learning is to develop computer programs that could improve themselves according to the newly discovered data without being explicitly programmed. It predicts an output by combining data with statistical tools. It is also related to data mining and Bayesian predictive modeling. 

A system receives data as input and uses the algorithm to provide an output. The machine learning is used to fraud detection, portfolio optimization, predictive maintenance, and so on. There are several machine learning algorithms such as Naive Bayes, Decision trees, Support vector machine, K-nearest neighbor, K-means clustering, Random forest, etc. Today, it is being used in price prediction, self-driving cars, fraud detection, and even natural language processing.