Some thought on Machine Learning

Welcome to the Machine-Learning wiki! Machine learning is the subpart of Artificial Intelligence also include in the latest trending field of Data Science, So, what is ML: Machine learning is the study of powerful algorithm and statistical model that increase the ability of computer in term of working/performance without using explicit instruction, where ML divided into three parts:

1.Supervised Learning 2.Unsupervised Learning 3.Reinforcement Learning Supervised Learning is the field for labeled data for predication and classification them using Regression and it different types, and classify using different ML Algorithm like (SVM, RF etc...). Unsupervised Learning is the field for unlabeled data for predication and clustering them using different types of clustering, Algorithm like (SVM, RF etc...), whereas in Reinforcement learning the ability of learning is going to move ahead here we train out machine using plenty to avoid mistake again by using these technique machine able to work smart than before.

ML is not a new technology, first introduced in 1950 till now a lot of modern algorithms make their place in ML domain. ML used in different domains as well like Fraud Detection, Data Analysis, and many more.