Machine Learning

Presents the physical reasoning, mathematical modeling and algorithmic implementation of each method Updates on the latest trends, including sparsity, convex analysis and optimization, online distributed algorithms, learning in RKH spaces, Bayesian inference, graphical and hidden Markov models, particle filtering, deep learning, dictionary learning and latent variables modeling Provides case studies on a variety of topics, including protein folding prediction, optical character recognition, text authorship identification, fMRI data analysis, change point detection, hyperspectral image unmixing, target localization, and more

Sergios Theodoridis is professor emeritus of machine learning and data processing with the National and Kapodistrian University of Athens, Greece. He is a Fellow of EURASIP and a Life Fellow of IEEE. He is the coauthor of the best-selling book Pattern Recognition, 4th edition, Academic Press, 2009, and of the book Introduction to Pattern Recognition: A MATLAB Approach, Academic Press, 2010.