Machine Learning Algorithms
Xin‐She Yang · 2018
This chapter introduces three types of algorithms: data mining techniques, artificial neural networks (ANNs), and support vector machines (SVMs). Data mining now also includes clustering and classifications, feature selection and feature extraction, and machine learning techniques such as decision tree methods, hidden Markov models, ANNs, and SVMs. Comparing with traditional databases and data analytics, big data have some key characteristics and thus the techniques required to cope with such big data are also more sophisticated. Many applications use ANNs, which is especially true in machine learning, artificial intelligence, and pattern recognition. Support vector machines are a class of powerful tools which become increasingly popular in classifications, data mining, pattern recognition, artificial intelligence, and optimization. Image processing, pattern recognition, and speech recognition become much more accurate because of the effective use of deep learning techniques such as deep convolutionary neural networks (CNN) and restricted Boltzmann machines (RBMs).