The description and presentation of algorithms in this book was carefully designed. Eachalgorithm is described in terms of three key properties:1. The representation used by the algorithm in terms of the actual numbers and structurethat could be stored in a le.2. The procedure used by the algorithm to learn from training data.3. The procedure used by the algorithm to make predictions given a learned model.There will be very little mathematics used in this book. Those equations that are includedwere included because they are the very best way to get an idea across. Whenever possible,each equation will also be described textually and a worked example will be provided to showyou exactly how to use it.Finally, and most importantly, every algorithm described in this book will include a step-by-step tutorial. This is so that you can see exactly how the learning and prediction procedureswork with real numbers. Each tutorial is provided in sucient detail to allow you to followalong in a spreadsheet or in a programming language of your choice. This includes the raw inputdata and the output of each equation including all of the gory precision. Nothing is hidden orheld back. You will see it all.