Browsing 04. Computer science - Data science - IT by Title
Now showing items 21-40 of 508
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An introduction to Data : everything you need to know about AI, Big data and Data science
(Springer, 2019)This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial ... -
An introduction to metaheuristics for optimization
(Springer, 2018)The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and ... -
An introduction to programming and numerical methods in MATLAB
(Springer, 2005)The book covers numerical methods for solving a wide range of problems, from integration to the numerical solution of differential equations or the simulation of random processes. Each chapter includes extensive examples ... -
An introduction to programming using Visual Basic 2012 : with Visual Studio 2012 express edition DVD
(Prentice Hall, 2014)Now updated for Visual Basic 2012, Schneider focuses on teaching problem-solving skills and sustainable programming skills. A broad range of real-world examples, section-ending exercises, case studies, and programming ... -
Analysis of algorithms : an active learning approach
(Jones and Bartlett Publishers, Inc., 2001) -
Analytics in a big data world : the essential guide to data science and its applications
(John Wiley & Sons, Inc., 2014)The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics ... -
Analytics, data science, & artificial intelligence : systems for decision support
(Pearson, 2020)This book is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students ... -
Analytics, data science, & artificial intelligence : systems for decision support
(Pearson, 2021)This book is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students ... -
Applications of blockchain technology in business : challenges and opportunities
(Springer, 2019)The book discusses the various ways that blockchain technology is changing the future of money, transactions, government, and business. The first two chapters walk through the foundation of blockchain. Chapters 3–12 look ... -
Applied data science : lessons learned for the data-driven business
(Springer, 2019)This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data ... -
Applied numerical methods using MATLAB
(John Wiley & Sons, Inc., 2005)In recent years, with the introduction of new media products, there has been a shift in the use of programming languages from FORTRAN or C to MATLAB for implementing numerical methods. This book makes use of the powerful ... -
Applied Numerical Methods with Python for Engineers and Scientists
(McGraw-Hill, 2021)Applied Numerical Methods with Python, 1st Edition is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems ... -
Applied system innovation
(CRC Press, 2016)The 2015 International Conference on Applied System Innovation (ICASI 2015) was held May 22-27, 2015 in Osaka, Japan and provided a unified communication platform for researchers active in a wide range of research fields. ... -
Architecture for blockchain applications
(Springer, 2019)This book addresses what software architects and developers need to know in order to build applications based on blockchain technology, by offering an architectural view of software systems that make beneficial use of ... -
Arduino workshop : a hands-on introduction with 65 projects
(No Starch Press, 2013) -
Artificial intelligence : a modern approach
(Pearson, 2016)In this third edition, the authors have updated the treatment of all major areas. A new organizing principle--the representational dimension of atomic, factored, and structured models--has been added. Significant new ... -
Artificial intelligence : with an introduction to machine learning
(CRC Press, 2018)The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based ... -
Artificial intelligence and blockchain for social impact : social business models and impact finance
(Routledge, 2023)"Artificial Intelligence and Blockchain for Social Impact provides an accessible overview of AI and blockchain technologies, and explores their applications for social enterprise and impact investing. The opening chapter ...
