The Matrix Cookbook

A Casual Guide for Artificial Intelligence, Deep Learning, and Python Programmers

Binge-watching your favorite season of Dexter, Breaking Bad, or The Walking Dead? Planning a Pokémon Go gaming party or a Harry Potter viewing party? Need sustenance to fuel your attempt to achieve the impossible and watch all six Star Wars movies in a row? Enter The Geek Cookbook, your guide to cooking all sorts of treats and goodies to nourish your inner (or outer) geek.

This book is a novel exposition of the traditional workhorses of statistics: analysis of variance and regression. The key feature is that these tools are viewed in their natural mathematical setting, the geometry of finite dimensions. The Authors To introduce ourselves, Dave Saville is a practicing statistician working in agricultural research; Graham Wood is a university lecturer involved in the teaching of statistical methods. Each of us has worked for sixteen years in our current field. Features of the Book People like pictures. One picture can present a set of ideas at a glance, while a series of pictures, each building on the last, can unify a wealth of ideas. Such a series we present in this text by means of a systematic geometric approach to the presentation of the theory of basic statistical methods.

Jamie's Christmas Cookbook will be packed with all the classics you need for the big day and beyond, as well as loads of delicious recipes for edible gifts, party food and new ways to love those leftovers. It's everything you need for the best Christmas ever.