All Books

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 technique

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

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 a

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 b

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

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

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 sci

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 desir

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 c

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combinations with deep learning, say, in the form of phys