Making Sense of Data II: A Practical Guide to Data Visualization, Ad-vanced Data Mining Methods and Applications

摘要

Making Sense of Data II by Glenn Myatt and Wayne Johnson follows Making Sense of Data, written two years earlier by Glenn Myatt. The first book attempted to give a short (100 page) introduction to the practice of statistics before proceeding to discussion of clustering and some predictive methods (linear regression, trees, K-nearest neighbors, and neural networks). It ended with some examples and a discussion of the process of data mining and exploration.