Название: Designing for Human Intelligence in an Artificial Intelligence World: Understanding Human Cognition to Design for Humans
Автор: Jerome L. Rekart, Rebecca Baker
Издательство: Apress
Год: 2025
Страниц: 368
Язык: английский
Формат: pdf
Размер: 10.1 MB

How we think and react has a direct impact on experience design, but often designers don't understand the "whys" behind their best practices, leaving them at risk for misusing or underutilizing those designs. Similarly, psychologists/neuroscientists don't understand the design decisions that their science is informing and how they might be leveraged further. This book explores how neuroscience and cognitive psychology inform experience design, within the modern context of research and technological advances. With a conversational and playful tone, this book begins by grounding you in research and AI. That foundation then allows you to expand your repertoire through chapters on design-relevant cognitive phenomena such as memory, learning, and perception. With the widespread availability of Generative AI tools, understanding the intersection of human cognition and design and how that knowledge can be used to build a bridge between the brain and the software has become even more critical.

Название: The Shallow and the Deep: A biased introduction to neural networks and old school Machine Learning
Автор: Michael Biehl
Издательство: University of Groningen Press
Год: 2023
Страниц: 294
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and Machine Learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical Machine Learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon. Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of Machine Learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify Machine Learning and neural networks without losing the appreciation for their impressive power and versatility.

Название: HPC Carpentry: Volume 4 / Tutorials for High Performance Scientific Computing: The Art of HPC, Volume 4
Автор: Victor Eijkhout
Издательство: Independently published
Серия: The Art of High Performance Computing
Год: March 28, 2024
Страниц: 237
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The ecosystem of scientific computing involves much more than just a programming language and a parallel programming system: you need to understand about compilers, build systems, source code control, and a lot more. This book does not aim to be a compendium of all of these, but rather a set of introductions, biased to scientific workflows. Software Carpentry refers to the vaguely defined set of skills that make a programmer more productive. This volume on “HPC Carpentry” teaches skills that are geared towards HPC practice: Unix, Compilers and libraries, Make and Cmake, Git, Source code control, Scientific data management and I/O, LaTeX, Debugging, Profiling and Tracing.

Название: Julia Data Science
Автор: Jose Storopoli, Rik Huijzer, Lazaro Alonso
Издательство: Independently published
Год: 2025-06-01
Страниц: 260
Язык: английский
Формат: pdf
Размер: 19.5 MB

This book describes the basics of the Julia programming language DataFrames.jl for data manipulation and Makie.jl for data visualization. Why should you dedicate your precious time into learning a language that is almost never mentioned in any job listing, lab position, postdoc offer, or academic job description? The answer is that Julia is a fresh approach to both programming and Data Science. Everything that you do in Python or in R, you can do it in Julia with the advantage of being able to write readable, fast, and powerful code. Therefore, the Julia language is gaining traction, and for good reasons. So, if you don’t have any programming background knowledge, we highly encourage you to take up Julia as a first programming language and Data Science framework.

Название: The Science of Computing: Volume 1 (Introduction to High-Performance Scientific Computing), 3rd Edition / The Science of Computing: The Art of High Performance Computing, Volume 1, 3rd Edition
Автор: Victor Eijkhout
Издательство: Independently published
Серия: The Art of High Performance Computing
Год: April 2, 2024
Страниц: 503
Язык: английский
Формат: pdf (true)
Размер: 45.1 MB

This book has the general background knowledge for scientific computing: computer architecture, parallel computer architecture, computer arithmetic, linear algebra, ODE/PDEs, and how it all comes together in big computations. This volume contains general theory of scientific computing. It takes a holistic approach to scientific computing: assuming that the reader is an application scientist, this book instills the knowledge necessary to bridge the gap between science and efficient computations. Part 1 covers theoretical topics: Architecture of a single computer and parallel, Computer arithmetic, Numerical linear algebra, Ordinary and partial different equations, and finally bringing all these topics together in the Computational analysis of a number of algorithms. Part 2 covers some applications such as molecular dynamics, sorting, graph analysis. Part 3 has tutorial appendices, introducing the basic concepts of graph theory, linear algebra, partial differential equations and such.

Название: Parallel Programming for Science and Engineering: Volume 2, 2nd Edition / Parallel Programming in MPI and OpenMP: The Art of HPC, volume 2, 2nd Edition
Автор: Victor Eijkhout
Издательство: Independently published
Серия: The Art of High Performance Computing
Год: January 14, 2024
Страниц: 644
Язык: английский
Формат: pdf (true)
Размер: 28.9 MB

Much of scientific computing involves parallel programming of some sort. This book is the ultimate introduction to modern versions of MPI and OpenMP, with shorter sections on PETSc, Kokkos, Sycl, Co-array Fortran. The term ‘parallel computing’ means different things depending on the application area. In this book we focus on parallel computing – and more specifically parallel programming; we will not discuss a lot of theory – in the context of scientific computing. Two of the most common software systems for parallel programming in scientific computing are MPI and OpenMP. They target different types of parallelism, and use very different constructs. Thus, by covering both of them in one book we can offer a treatment of parallelism that spans a large range of possible applications. Finally, we also discuss the PETSc (Portable Toolkit for Scientific Computing) library, which offers an abstraction level higher than MPI or OpenMP. The main languages in scientific computing are C/C++ and Fortran. We will discuss both MPI and OpenMP with many examples in these two languages. For MPI and the PETSc library we will also discuss the Python interfaces.

Название: Introduction to Scientific Programming in C++17/Fortran2008: The Art of HPC, volume 3
Автор: Victor Eijkhout
Издательство: Independently published
Серия: The Art of High Performance Computing
Год: August 19, 2023
Страниц: 644
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The field of High Performance Computing lies at the crossroad of a number of disciplines and skill sets. Correspondingly, for someone to be successful at using HPC in science requires at least elementary knowledge of and skills in all these areas. The series "The Art of High Performance Computing" brings together the components that make up the toolbox of a computational scientist. Volume 3, "Introduction to Scientific Programming" covers the two major high performance languages: C++17 and Fortran 2008. Both are covered from the ground up, rather than encyclopedically, with plenty of programming examples, taken from computational science. The book contains longer programming projects that exercise the skills acquired.

Название: The Full-Stack Cross-Platform Guide: Develop Web, Mobile, and Desktop Apps with a Single Codebase
Автор: THOMPSON CARTER, Rafael Sanders, Miguel Farmer
Издательство: Independently published
Год: 2025
Формат: epub, pdf
Страниц: 161
Размер: 16,18 Мб
Язык: английский

Ditch the Code Clutter: Build Everything, Everywhere, with One Powerful Stack. Tired of juggling multiple languages and frameworks? Imagine crafting stunning web apps, sleek mobile experiences, and robust desktop software – all from a single, unified codebase. Stop dreaming and start building with "The Full-Stack Cross-Platform Guide," your definitive roadmap to streamlined development.

Название: Modern Artificial Intelligence Based on Soft Computing Techniques
Автор: Patricia Melin, Oscar Castillo
Издательство: Springer
Год: 2025
Страниц: 414
Язык: английский
Формат: pdf (true)
Размер: 35.0 MB

This book describes what we can call modern Artificial Intelligence that includes the theoretical developments and applications of soft computing techniques. Soft computing includes fuzzy logic, neural networks and meta-heuristic algorithms, as well as their hybrid combinations. There are papers with the main topics from type-1 to type-3 fuzzy logic, which basically consists of a group of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There are also papers that present theory and practice of meta-heuristics in diverse application areas. There are interesting papers on different applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. In addition, we can find papers describing applications of fuzzy logic, neural networks and meta-heuristics in robotics problems.

Название: Rust Revealed: The Programmer's Guide to Modern System Development VOL-I-II
Автор: Anshuman Mishra
Издательство: Independently published
Год: 2025
Страниц: 403+517
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

"Rust Revealed: The Programmer’s Guide to Modern Systems Development" is an in-depth, comprehensive, and practical exploration of one of the most exciting programming languages of the 21st century—Rust. Designed for developers at all stages of their careers, this book delves deep into the language's core philosophies, memory safety, concurrency, performance, and real-world applications. It is tailored to not just teach Rust syntax and features but to cultivate a Rustacean mindset capable of crafting reliable, efficient, and modern software systems. Whether you are a beginner, a system-level programmer, or a web developer wanting to explore Rust, this book will be one-stop resource for practical insights, real-world examples, and foundational understanding of the language.