Unlock the Power of Statistical Learning: An Overview of Data Mining, Inference, and Prediction
The Elements of Statistical Learning: Data Mining, Inference, and Prediction is a comprehensive and definitive work on modern statistical theory and its applications in predictive data analysis. Written by renowned experts Trevor Hastie, Robert Tibshirani and Jerome Friedman, this book provides an introduction to the area of statistical learning, which includes both supervised and unsupervised methods. It covers topics such as linear regression, classification trees, model selection and boosting while providing detailed mathematical insight into the underlying principles. With its clear presentation of theory, broad coverage of topics and extensive range of examples, this book is an invaluable resource for anyone interested in data mining and predictive analytics.