"An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods. ISL makes modern methods accessible to a wide audience without requiring a background in Statistics or Computer Science. The authors give precise, practical explanations of what methods are available, and when to use them, including explicit R code. Anyone who wants to intelligently analyze complex data should own this book. Larry Wasserman , Professor, Department of Statistics and Department of Machine Learning, CMU.
The annual federal budget process begins with a detailed proposal from the President; Congress next develops a blueprint called a budget resolution that sets limits on how much each committee can spend or reduce revenues over the course of the year; and the terms of the budget resolution are then enforced against individual appropriations, entitlement bills, and tax bills on the House and Senate floors. In addition, Congress sometimes uses a special procedure called "reconciliation" to facilitate the passage of deficit-reduction legislation or other major entitlement or tax legislation. Moreover, the budget is subject to statutory deficit-control requirements. Legislation implementing a budget resolution that violates those requirements could trigger across-the-board budget cuts to offset the violations.