Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...
This quick C# 7 guide is a condensed code and syntax reference to the C# programming language, updated with the latest features of C# 7.3 for .NET and Windows 10. It presents the essential C# 7 syntax in a well-organized format that can be used as a handy reference.
PowerPivot: What a name! Or I should really say what’s in a name? Powerful Pivoting? Pivot-table for power users?
PowerPivot is a lot more than that. When I started the PowerPivot project back in 2007, along with Amir Netz (Microsoft BI Distinguished Engineer), the incubation project was called BI Sandbox. We had been looking...
Prime Obsession taught us not to be afraid to put the math in a math book. Unknown Quantity heeds the lesson well. So grab your graphing calculators, slip out the slide rules, and buckle up! John Derbyshire is introducing us to algebra through the ages—and it promises to be just what his die-hard fans have been waiting...
This book provides everything you need for a successful
programme of revision or review. It contains 330 practice questions
with answers and explanations, advice on how to show your
true potential and signposts to sources of further practice material.
Supercharge options analytics and hedging using the power ofPython
Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building...
A computer program is a set of statements that is used to create an output, such as a screen
display, a printed report, a set of data records, or a calculated set of numbers.
Most programs involve statements that are executed in sequence.
A program is written using the statements of a programming language....
Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based...
