Post under Statistics, Mathematical Statistics

Provide the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Readers with little or no background in statistics will appreciate how these fundamental concepts are so well illustrated.

Post under C++ Programming and Parallel Programming

Serves as a comprehensive guide for C++ programmers looking to master Threading Building Blocks (TBB). Distills decades of collective experience in developing and teaching parallel programming concepts, presenting insights in a clear and accessible manner.

Post under Introduction to Computer Science, Theory of Computation

Topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

Post under SQL - The Structured Query Language

Cover several advanced SQL topics, including Window Functions, Recursive Queries with CTEs, Advanced Joins and Subqueries, and more. These concepts are essential for working with complex data and solving intricate problems using SQL.

Post under Neural Networks and Deep Learning

This book focus on developing new neural network architectures while taking such practical constraints into account, provides a clear and detailed coverage of fundamental neural network architectures and learning rules.

Post under Neural Networks and Deep Learning

Determining the right architecture is a computationally intensive process. We show that the neural activation function, if allowed to individually change for each neuron, can implicitly control many aspects of the network architecture.

Post under Information Retrieval (IR) and Search Engines

Summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved.

Post under Number Theory and Algebra

This is a textbook for beginning mathematics students. Knowledge of school mathematics is not presumed: it starts with the basics of counting. The underlying idea is that the best way to learn mathematics is by doing mathematics.

Post under Digital Signal Processing (DSP)

This book tries to link between the analog and digital signal processing domains. Begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing.

Post under Data Science and Data Mining

This open-access textbook's significant contribution is the unified derivation of Data Assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem.

Post under Neural Networks and Deep Learning

From the basic building blocks of neural networks to advanced architectures, this book is designed to provide a thorough grounding in deep learning for readers at all levels of expertise.

Post under Statistics

This book is a true introduction, not assuming any prior training in statistics. It minimizes use of math (beyond the very elementary) in initial explanations, instead focusing on conceptual description and interpretation.

Post under Statistics and R Programming

This book is for those interested in becoming crime analysts, focusing on learning statistics without delving too deeply into mathematics. Emphasizes practical applications by utilizing R for data analysis, etc..

Post under Computer, Networks, and Information Security

This open access book is a straight-forward primer for developers. It shows security and Trusted Platform Module (TMP) concepts, demonstrating their use in real applications that the reader can try out.

Post under Applied Mathematics

This open access textbook contains about 200 fully solved problems in analytical and numerical methods for nonlinear osccillations. Mathematical software are adopted to make those solutions more accessible from a graphical point of view.

Post under Algebra and Elementry Mathematics

This textbook was written with two goals in mind: to present the skills of algebra in the context of modeling and problem solving, and to engage students in an activity-based course.

Post under Applied Mathematics, TeX, LaTeX, and AMS-LateX

Addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, LaTeX has become the de-facto standard to typeset mathematical formulae in STEM publications.

Post under Numerical Computing, Differential Equations, MATLAB

Discuss several numerical methods for solving ordinary differential equations. The numerical examples were implemented in Matlab, but also Python or any other programming language could be used.

Post under Artificial Intelligence (AI), Internet of Things (IoT)

Artificial Intelligence of Things (AIoT) is the natural evolution for both AI and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information.

Post under Cryptography, Computer and Information Security

The goal of this book is to introduce the mathematical principles of data security and to show how these principles apply to operating systems, database systems, and computer networks. Learn about the fundamental concepts of cryptography and then apply them!

Post under Applied Mathematics and Optimization

This open access book is the 2nd edition involving the update on data, methods and models of Grey Systems. It covers up-to-date theoretical and applied advances in grey systems from across the world, as well as the overall picture.

Post under Artificial Intelligence (AI)

In this book, the authors argue that the framework of machine learning is fundamentally at odds with any reasonable notion of intelligence and that essential insights from previous decades of AI research are being forgotten.

Post under Neural Networks and Deep Learning

This overview incorporates every aspect of Recurrent Neural Networks (RNNs). It outlines the wide variety of complex learning techniques and associated research projects, investigates the following RNN models which solve some practical problems.

Post under Embedded Systems and C Programming

Key features include a resource for the fundamentals of embedded systems design and development with an emphasis on software, an exploration of the 8051 microcontroller as it pertains to embedded systems, etc.

Post under Numerical Analysis and Scientific Computing

Entails the description of classical numerical methods that are used to approximate the solution of partial differential equations. The focus is on discretization methods such as the finite difference, finite volume and finite element method.

Post under Miscellaneous and Uncategorized Books

This open access book explores the multifaceted interplay of technology, knowledge, and place. While digital technology is increasingly influencing our way of knowing, conversely it is itself the consequence of human creativity and local social interaction.

Post under Introduction to Java Programming

This is a beginner-friendly eTextbook that introduces readers to the fundamentals of Java. It covers key concepts like syntax, data types, control structures, and object-oriented programming, offering clear explanations and practical examples.

Post under MATLAB Programming

This open access book presents a comprehensive guide to MATLAB programming, catering to students, engineers, and researchers seeking to harness MATLAB as a powerful tool for their work.