Found 668 books
Methods for Analyzing Large Neuroimaging Datasets

This open access book explores the latest advancements and challenges in standardized methodologies, efficient code management, and scalable data processing of neuroimaging datasets. The chapters in this book are organized in four parts. Part One shows the researcher how to access and download large datasets, and how to compute at scale. Part Two covers best practices for working with la

An Open Guide to Data Structures and Algorithms

Data encountered in a computer program is classified by type. Common types include integers, floating point numbers, Boolean values, and characters. Data structures are a means of aggregating many of these scalar values into a larger collection of values. An algorithm is an explicit sequence of instructions, performed on data, to accomplish a desired objective. This open access book serv

Gateway to Business Analytics with Microsoft Excel

What exactly is business analytics? The business part is easy; it means a commercial operation or a company. Business is often associated with entrepreneurship and management. Business analytics is a new, expanding subfield with fuzzy edges that overlap into a variety of other established disciplines, including economics, econometrics, computer science, data science, finance, statistics,

C++ Notes for Professionals

The C++ Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

React JS Notes for Professionals

The React JS Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow.

Digital Signal Processing

This practical guide bridges the core concepts of Digital Signal Processing (DSP) and modern digital communications. It focuses on the implementation of these principles using open-source tools like Python, Octave, and GNU Radio, alongside low-cost hardware platforms (USRP, DVB-T dongles, HackRF). The book takes a hands-on, code-first approach to building modern systems, such as software

First Semester in Numerical Analysis with Julia

First Semester in Numerical Analysis with Julia presents the theory and methods, together with the implementation of the algorithms using the Julia programming language. The open access book covers computer arithmetic, root-finding, numerical quadrature and differentiation, and approximation theory. The reader is expected to have studied calculus and linear algebra. Some familiarity with

Modern Data Visualization with R

Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights. It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and t

Practical Machine Learning

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integrati

Introducing Windows Azure for IT Professionals

The Windows Azure public cloud platform is one of the three pillars of Microsoft's Cloud OS vision that will transform the traditional datacenter environment, help businesses unlock insights in data stored anywhere, enable the development of a wide range of modern business applications, and empower IT to support users who work anywhere on any device while being able to manage these devic