This handbook highlights the limitations of quantitative data analytics, promoting qualitative approaches (in tandem or separately) in analysing and understanding data and phenomena. Meer
The latest edition of the definitive guide to the Ada language covers the full details of the core language Ada 2012 as updated by the 2016 ISO Corrigendum and introduces the key new features in Ada 2022. Meer
An overview of current developments in research on feasible computations; and a consideration of this area of research in relation to provable properties of complexity of computations. Meer
The Java programming language has been one of the most powerful tools available to computer programmers since its inception in 1995. It has also consistently changed since then, making it a vast and powerful resource for object-oriented programming today. Meer
LAPACK is a library of numerical linear algebra subroutines designed for high performance on workstations, vector computers, and shared memory multiprocessors. Meer
Principles of Computerized Tomographic Imaging provides a comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging. Meer
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis. Meer
Critical coding techniques have developed over the past few decades for data storage, retrieval and transmission systems, yet they are rarely covered in the graduate curricula. Meer
This comprehensive book is aimed at undergraduate and graduate students pursuing courses in computer science and artificial intelligence. It comprises detailed descriptions of a variety of search methods with examples and illustrations. Meer
This book provides students, researchers and professionals working in big data applications with solutions to core algorithmic problems, analyzed within RAM and external-memory models of computation. Meer
The second edition of this student-friendly textbook now includes over 150 new exercises, key concept summaries and a chapter on machine learning algorithms. Meer
Providing a logical framework for student learning, this is the first textbook on adversarial learning. It introduces vulnerabilities of deep learning, then demonstrates methods for defending against attacks and making AI generally more robust. Meer
This book is an introduction to the theory of compact quantum groups, an active research topic, emphasizing the combinatorial aspects. It also describes interactions with other fields of mathematics like quantum information theory, graph theory and non-commutative probability. Meer
This text for MBA students and industry professionals explores key Web3 concepts such as blockchain, DeFi, tokenomics, and smart contracts, demystifying the technology behind NFTs and DAOs and the complex regulatory landscape. Meer
Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. Meer
Master basic matrix methods by seeing how the mathematics is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as well as online JULIA demos offering a hands-on learning experience for upper-level undergraduates and first-year graduate students. Meer
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