Bayesian Reasoning and Machine Learning

摘要: Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, robot locomotion, their use is spreading rapidly. People who know the have choice rewarding jobs. This hands-on text opens these opportunities to computer science students mathematical backgrounds. It designed for final-year undergraduates master's limited background linear algebra calculus. Comprehensive coherent, it develops everything basic reasoning advanced techniques within framework graphical models. Students learn more than menu techniques, they develop analytical problem-solving skills that equip them real world. Numerous examples exercises, both based theoretical, included every chapter. Resources instructors, MATLAB toolbox, available online.