Big Data & Data Analytics

Big Data Algorithm

Big data is big data that cannot fit in the main memory of a single machine. Internet search, network traffic monitoring, machine learning, scientific computing, signal processing and other fields need to process big data through efficient algorithms. Naive Bayesian models are easy to build and useful for massive datasets. It is simple and has a reputation for outperforming highly complex classification methods. Decision Tree Algorithm, Support Vector Method Algorithm, Logistic Regression, K-Means Clustering Algorithm, and Naive Bayesian Brackets are 5 entry-level ML algorithms.