Название: Learn to Program with Assembly: Foundational Learning for New Programmers
Автор: Jonathan Bartlett
Издательство: Apress
Год: 2021
Формат: true pdf/epub/mobi
Страниц: 324
Размер: 10 Mb
Язык: English

Many programmers have limited effectiveness because they don't have a deep understanding of how their computer actually works under the hood. In Learn to Program with Assembly, you will learn to program in assembly language - the language of the computer itself.
Assembly language is often thought of as a difficult and arcane subject. However, author Jonathan Bartlett presents the material in a way that works just as well for first-time programmers as for long-time professionals. Whether this is your first programming book ever or you are a professional wanting to deepen your understanding of the computer you are working with, this book is for you. The book teaches 64-bit x86 assembly language running on the Linux operating system. However, even if you are not running Linux, a provided Docker image will allow you to use a Mac or Windows computer as well.

Название: Data Science with R for Psychologists and Healthcare Professionals
Автор: Christian Ryan
Издательство: CRC Press
Год: 2022
Страниц: 313
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up to date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail.

Название: Advances in Intelligent Systems Research and Innovation
Автор: Vassil SgurevVladimir JotsovJanusz Kacprzyk
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 479
Размер: 13.4 Mb
Язык: English

Represents the experience on a broad range of intelligent systems and hints how to avoid anticipated conflicts and problems during multidisciplinary innovations
Covers topics from Industry 4.0 and/or Internet of Things through modern machine learning and software agent applications to open data science big data/advance analytics/visual analytics/text mining/web mining/knowledge discovery/deep data mining issues

Название: Probability, Statistics, and dаta: A Fresh Approach Using R
Автор: Darrin Speegle, Bryan Clair
Издательство: CRC Press
Год: 2022
Страниц: 513
Язык: английский
Формат: pdf (true)
Размер: 22.2 MB

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.

Название: Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics
Автор: Cyrus F. Nourani
Издательство: Apple Academic Press, Inc
Год: 2022
Формат: True PDF
Страниц: 286
Размер: 10.4 Mb
Язык: English

Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI’s importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain—combining neurocognitive techniques and effective computing—to basic facial recognition computing models.

Название: Mathematical Programming for Power Systems Operation with Python Applications
Автор: Alejandro Garces
Издательство: CRC Press
Год: 2022
Формат: PDF
Страниц: 298
Размер: 10 Mb
Язык: English

Explore the theoretical foundations and real-world power system applications of convex programming In Mathematical Programming for Power System Operation with Applications in Python, Professor Alejandro Garces delivers a comprehensive overview of power system operations models with a focus on convex optimization models and their implementation in Python. Divided into two parts, the book begins with a theoretical analysis of convex optimization models before moving on to related applications in power systems operations.

Название: Introduction to Gravitational Lensing: With Python Examples
Автор: Massimo Meneghetti
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 417
Размер: 15 Mb
Язык: English

This book introduces the phenomenology of gravitational lensing in an accessible manner and provides a thorough discussion of the related astrophysical applications. It is intended for advanced undergraduates and graduate students who want to start working in this rapidly evolving field. This includes also senior researchers who are interested in ongoing or future surveys and missions such as DES, Euclid, WFIRST, LSST.

Название: Machine Learning with Neural Networks: An Introduction for Scientists and Engineers
Автор: B. Mehlig
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 261
Размер: 10 Mb
Язык: English

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research develop a detailed perspective on the state-of-the-art in machine learning research.

Название: React Explained Clearly: All You Need to Build Great React.js Apps
Автор: Oluwatobi Sofela
Издательство: codesweetly.com
Год: 2021
Страниц: 269
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.2 MB

No matter how massive or miniature your project may be, React is well-suited to help you develop any web application efficiently. This book (React Explained Clearly) uses scalable projects to explain essential React.js concepts that will set you on sound footings to become a proficient React developer. React is a component-based jаvascript library used to build user interfaces (UI) efficiently. Why use React? Developers primarily use ReactJS to build independent, reusable components that you can combine with other isolated user interfaces to create highly scalable applications.

Название: Soft Computing in Interdisciplinary Sciences
Автор: S. Chakraverty
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 264
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, Machine Learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, Artificial Intelligence, Machine Learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems.