Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. 



The coverage combines breadth and depth, offering necessary…

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for…

Yet another one of these One Picture tutorials, and in some ways, in the same old-fashioned style as our Type I versus Type II Errors in One Picture.…

This is Google's dictionary on machine learning. Very interesting, with more than 100 entries, but clearly biased towards what Google thinks machine learning is. There is still big room for improvement, as this glossary is missing many important entries such as

• maximum likelihood
• Bayesian networks
• dimension reduction
• hierarchical modeling
• survival analysis
• Markov property
• cross-validation
• time…