Computer Science

by Charu C. Aggarwal

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional mac...

by Andrew T. Duchowski

Focusing on recent advances in analytical techniques, this third edition of Andrew Duchowski’s successful guide has been revised and extended. It includes new chapters on calibration accuracy, precision and correction; advanced eye movement analysis; binocular eye movement analysis; practical gaze analytics; eye movement synthesis. Eye Tracking ...

by Michael Collier, Robin Shahan

Microsoft Azure is Microsoft's cloud computing platform, providing a wide variety of services you can use without purchasing and provisioning your own hardware. Azure enables the rapid development of solutions and provides the resources to accomplish tasks that may not be feasible in an on-premises environment. Azure's compute, storage, n...

by Ed Bott

That group includes full-time professional trainers, of course, but it also includes IT pros and those brave souls who staff the help desk in corporations. Most of all, it includes the incredibly large population of people who have earned a reputation for being "the person who knows Windows." With that knowledge comes a seemingly endle...

by Scott Guthrie, Mark Simms, Tom Dykstra, Rick Anderson, Mike Wasson

This book walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. Developers who are curious about developing for the cloud, are considering a move to the cloud, or are new to cloud development will find here a concise overv...

by Alberto Ferrari, Marco Russo

Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. This book is targeted to a variety of readers. There are information workers and people who are totally new to the B...

by Marlon Dumas, Marcello La Rosa, Jan Mendling, Hajo A. Reijers

This book covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-discip...

by Dilip Datta

This book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book manuscripts, journal articles, reports, presentation slides and academic theses and dissertations for publication. Unlike much of th...

by Hector Guerrero

This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-c...

by Isil Dillig, Serdar Tasiran

The book set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organ...