Post under Data Science and Big Data

Covers the breadth of activities, methods and tools that Data Scientists use. Focuses on concepts, principles and practical applications. The learning is supported and explained with illustrative examples using open-source software.

Post under Computer, Networks, and Information Security

Highlights the importance of cybersecurity in the maritime domain, including the human and societal aspects of both cyber-crime and cyber-defense. Emphasizes the importance of protection against cyber-attacks at operational, tactical, and strategic levels.

Post under VLSI (Very Large Scale Integration)

Low-voltage very large scale integration (VLSI) circuits representthe electronics of the future. All electronic products are strivingto reduce power consumption to create more economical, efficient,and compact devices.

Post under VLSI (Very Large Scale Integration)

In this book, a variety of topics related to Very-Large-Scale Integration (VLSI) is extensively discussed. The topics encompass the physics of VLSI transistors, the process of integrated chip design and fabrication and the applications of VLSI devices.

Post under Data Mining and Machine Learning

The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge.

Post under Data Science and Machine Learning

This book describes, simply and in general terms, the process of analyzing data. This book is a distillation of authors experience in a format that is applicable to both practitioners and managers in data science.

Post under Data Mining and Machine Learning

Connect deep learning, artificial intelligence, data mining, and machine learning, Offer a thorough grounding in machine learning concepts, with practical advice on applying these tools and techniques in real world.

Post under Machine Learning, Deep Learning

A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory. To acquire a basic mathematical understanding of the most widely used machine learning architectures.

Post under Miscellaneous and Uncategorized Books

Readers will enjoy learning in detail how correlation evolved from a completely non-mathematical concept to one today that is virtually always viewed mathematically. Some topics included here have never been discussed in depth by any historian.

Post under Data Analysis and Data Mining, R Programming

This is a textbook on data analysis methods, intended for advance undergraduate students who have already taken classes in probability, mathematical statistics, and linear regression. It presumes that you can read and write simple functions in R.

Post under Robotics and Robot Programming

This open access book explores what emotions we have when encountering robots, how we react emotionally to them in different contexts, and why these emotional responses are so important.

Post under Coding Theory, Cryptography, Data Communications

This open access book is your comprehensive guide to understanding the fundamental principles and techniques that underpin the art of Coding Theory, covers a wide range of topics, providing both theoretical foundations and practical insights.

Post under Coding Theory, Cryptography, Data Communications

This book introduces the reader to the theoretical foundations of Error-Correcting Codes, with an emphasis on Reed-Solomon codes and their derivative codes. It describes Reed-Solomon codes and various decoding algorithms.

Post under Reverse Engineering, Hackers, Assembly Programming

This comprehensive set of reverse engineering tutorials covers x86, x64 as well as 32-bit ARM and 64-bit architectures. If you're a newbie looking to learn reversing, or just someone looking to revise on some concepts, you're at the right place.

Post under Statistics and Mathematical Statistics, Data Analysis, and Python Programming

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python

Post under Python Programming

In this open access book, you will learn to code in Python using Jupyter Notebook. Even more importantly, you will develop computational thinking, which is the way we think when coding.

Post under Deep Learning and Neural Networks

This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.).

Post under Statistics, Mathematical Statistics

Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for Age-Period-Cohort (APC).

Post under Popular, Recreational, and Miscellaneous Mathematics

Mathematical topics are presented in the categories of words, images, formulas, theorems, proofs, solutions and unsolved problems, from complex numbers to arithmetic progressions, from Alcuin's sequence to the zeta function, etc.

Post under Cryptography (Cryptology, Cryptanalysis) and Coding Theory

The only guide for software developers who must learn and implement cryptography safely and cost effectively. The book begins with a chapter that introduces the subject of cryptography to the reader.

Post under Computer and Information Security

Professionals’ views of key data protection and information privacy issues, such as data autonomy, the data power of companies and governments, and the impact of data protection and information privacy regulations on companies, consumers, and the state.

Post under Hacking and Hackers, Computer Security

Requiring no prior hacking experience, this open access book supplies a complete introduction to the steps required to complete a penetration test, or Ethical Hacking, from beginning to end.

Post under Mathematica and MATLAB

Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica language, with a practical emphasis on solving problems.

Post under inear Programming, Optimization, Approximation, etc.

The generalized Topology Optimization framework presented in this book breaks the mold of many conventional thoughts in structural topology optimization, enable topology optimization techniques to solve a much wider range of practical problems.

Post under NoSQL Databases and Information Retrieval (IR)

Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo. A Vector Database is a specialized system for efficiently storing, indexing, and querying high-dimensional vector data.

Post under Linear Algebra and Algorithms

Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems.

Post under Linear Algebra and Linear Systems

This book is a practical algorithms for solving large-scale linear systems of equations using Iterative Methods. Numerous exercises have been added, as well as an updated and expanded bibliography.

Post under Geographic Information System (GIS)

A map projection fundamentally impacts the mapmaking process. The book presents a clear understanding of the processes necessary to make logical decisions on selecting an appropriate map projection for a given data set.

Post under Linear Algebra, Geometry and Graph Theory

This open access book gives a systematic introduction into the Spectral Theory of differential operators on metric graphs. Main focus is on the fundamental relations between the spectrum and the geometry of the underlying graph.

Post under GIS and Mobile Device Programming

This book argues for a theory of mobile mapping, a situated and spatial approach towards researching how everyday digital mobile media practices are bound up in global systems of knowledge and power.

Post under Fourier Transforms and Wavelet

This monograph is concerned with wavelet harmonic analysis on the sphere. By starting with orthogonal polynomials and functional Hilbert spaces on the sphere, the foundations are laid for the study of spherical harmonics such as zonal functions.