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Authors: Vladimir Cherkassky (2007) - An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
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Authors: Goldreich, Oded (2019) - This book celebrates these works, which were the basis for bestowing the 2012 A.M. Turing Award upon Shafi Goldwasser and Silvio Micali. A significant portion of this book reproduces some of these works, and another portion consists of scientific perspectives by some of their former students. The highlight of the book is provided by a few chapters that allow the readers to meet Shafi and Silvio in person. These include interviews with them, their biographies and their Turing Award lectures.
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Authors: Sharon Oviatt (2017) - Volume 1 of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling, interface design that supports user choice, synergistic combination of modalities with sensors, and blending of multimodal input and output. They also highlight an in-depth look at the most common multimodal-multisensor combinations- for example, touch and pen input, haptic and non-speech audio output, and speech co-processed with visible lip movements, gaze, gestures, or pen input. A common theme throughout is support for mobility and individual differences among users-including the world's rapidly growing population of seniors.
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Authors: Brahma Dathan (2015) - The second edition of this textbook includes revisions based on the feedback on the first edition. In a new chapter the authors provide a concise introduction to the remainder of UML diagrams, adopting the same holistic approach as the first edition.
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Authors: Stephen Boyd (2018) - This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-s...
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Authors: James B. Carrell (2005) - This textbook is meant to be a mathematically complete and rigorous introduction to abstract linear algebra for undergraduates, possibly even first year students, specializing in mathematics.
Linear algebra is one of the most applicable areas of athematics. It is used by the pure mathematician and by the mathematically trained scientists of all disciplines. This book is directed more at the former audience than the latter, but it is hoped that the writing is sufficiently clear with enough detail so that the anyone reading the text can understand it. While the book is written in an informal style and has many elementary examples, the propositions and theorems are generally carefully proved, and the interested student will certainly be able to experience the theorem-proof style of te...
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Authors: Avinash Sathaye (2013) - This text is intended to be part of a College Algebra course which exposes students to this philosophy. Such a course will almost certainly be a compromise, particularly if it must be taught in a lecture/recitation format to large numbers of students. The emphasis in this course is on mastering the Algebraic technique. Algebra is a discipline which studies the results of manipulating expressions (according to a set of rules which may vary with the context) to put them in convenient form, for enhanced understanding. In this view, Algebra consists of looking for ways of finding information about various quantities, even though it is difficult or even impossible to explicitly solve for them. Algebra consists of finding multiple expressions for the same quantities, since the comparison ...
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Authors: Zahran, Mohamed (2019) - The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.
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Authors: Brock J. LaMeres (2019) - This textbook provides a starter’s guide to VHDL. This book can be used in conjunction with a one-semester course in Digital Systems Design or on its own for designers who only need an introduction to the language. This book is designed to provide a bottoms-up approach to learning the VHDL language. This design supports a course in which foundational knowledge is covered before moving into advanced topics. However, this design also supports use as a reference manual. The author has designed the presentation with learning goals and assessment at its core. Each section addresses a specific learning outcome that the student should be able to "do" after its completion. The concept checks and exercise problems provide a rich set of assessment tools to measure student performance on each ...
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Authors: Brock J. LaMeres (2019) - This book is designed to match the way the material is actually taught in the classroom. Topics are presented in a manner which builds foundational knowledge before moving onto advanced topics. The author has designed the presentation with learning goals and assessment at its core. Each section addresses a specific learning outcome that the student should be able to “do” after its completion. The concept checks and exercise problems provide a rich set of assessment tools to measure student performance on each outcome.
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