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Neuro-symbolic AI

Foundations and Applications

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

On Software and Sovereignty

The Stack, 10th anniversary edition with new preface by the author

Concepts, Applications and Case Studies

Decision Intelligence

A complete and up-to-date overview of popular and practical erasure codes in distributed storage In Distributed Storage in Practice, a team of distinguished researchers delivers a comprehensive discussion on distributed storage coding and distributed storage systems. Divided into two parts, the book first explores distributed storage coding technology based on Maximum Distance Separable (MDS) codes, including array codes, Reed-Solomon codes, locally repairable codes, and regenerating codes. It then goes on to examine the challenges presented by repairing distributed data in real-world scenarios. Distributed Storage in Practice uses two perspectives: practical optimization of distributed storage coding and emerging technologies such as blockchain. It discusses the technical foundations of blockchain and integrates blockchain into distributed storage systems. It also offers an overview of several popular blockchain-based storage systems. It also includes: <ul> <li>A thorough introduction to the current development of quantum technology, including its fundamentals, quantum memory, quantum computers, quantum security, and quantum networks</li> <li>Comprehensive explorations of data recovery methods for specific networked distributed storage scenarios</li> <li>Practical integrations of theory and practice, including classic techniques and the most recent advancements in storage coding</li> <li>A practical example of a distributed secure storage system integrated with blockchain technology</li> </ul> Perfect for researchers and undergraduate and graduate students studying computer science, Distributed Storage in Practice will also benefit blockchain professionals.

Distributed Storage in Practice

Sustainable Computing and Optimization

Decision Analytics in Manufacturing and the Supply Chain

Using Computational Thinking in Everyday Life

Problem Solving with Python

Machine Learning For Dummies

Concepts and Applications

Neuro-Symbolic AI

Distributed Computing and Intelligent Data Analytics

Artificial Intelligence in Cybersecurity for Banking and Finance

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

Quantum Information Processing with Light

The Brave New World of AI

Thinking With Machines

Neuro-symbolic AI

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