Название: Technical Writing For Dummies, 2nd Edition
Автор: Sheryl Lindsell-Roberts
Издательство: For Dummies
Год: 2023
Страниц: 339
Язык: английский
Формат: pdf (true)
Размер: 18.1 MB

Learn to document the technology that makes the world go. Technical Writing For Dummies is a master class on how to build a career writing user manuals, e-learning, streaming, simulations, and more. It even zooms into the metaverse. Whether you're new to the field, a seasoned professional, or a technical person who needs to write, this guide arms you with the skills you need to cash in on this flourishing world of technical writing. This isn't your average how-to. It's a compendium of innovative industry knowledge that will help you set yourself apart with the latest trends and best practices in technical writing. As a tech writer, you'll need a robust skillset that allows you to offer clear and concise documentation for just about anything. This new edition of Technical Writing For Dummies—updated for all of today's tech writing advances—can get you there. Welcome to the second edition of Technical Writing For Dummies, which will propel you into the exciting worlds of eLearning, collaboration tools, videoconferencing, streaming, simulations, surfing, Artificial Intelligence (AI), Virtual Reality (VR), search engine optimization (SEO), user experience (UX) writing, a zoom into the Metaverse, and much more!

Название: The Scientific Method: A Guide to Finding Useful Knowledge
Автор: J. Scott Armstrong, Kesten C. Green
Издательство: Cambridge University Press
Год: 2022
Страниц: 242
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The scientific method delivers prosperity, yet scientific practice has become subject to corrupting influences from within and without the scientific community. This essential reference is intended to help remedy those threats. The authors identify eight essential criteria for the practice of science and provide checklists to help avoid costly failures in scientific practice. Not only for scientists, this book is for all stakeholders of the broad enterprise of science. Science administrators, research funders, journal editors, and policymakers alike will find practical guidance on how they can encourage scientific research that produces useful discoveries. Journalists, commentators, and lawyers can turn to this text for help with assessing the validity and usefulness of scientific claims. The book provides practical guidance and makes important recommendations for reforms in science policy and science administration. The message of the book is complemented by Nobel Laureate Vernon L. Smith's foreword, and an afterword by Terence Kealey.

Название: Основы наноструктурного материаловедения. Возможности и проблемы
Автор: Андриевский Р. А.
Издательство: Лаборатория знаний
Год: 2020 - 4-е изд.
Cтраниц: 255
Формат: pdf (ocr)
Размер: 16 мб
Язык: русский

В монографии изложены современные тенденции в наноструктурном материаловедении, сформулированы нерешенные проблемы. Систематизированы многочисленные данные о влиянии размерных эффектов и поверхностей раздела на физические, физико-химические и механические свойства наноматериалов, обобщены и проанализированы сведения о термической, радиационной, деформационной и коррозионной стабильности.

Название: Математические основы машинного обучения и прогнозирования
Автор: Вьюгин В.В.
Издательство: МЦНМО
Год: 2014
Cтраниц: 304
Формат: pdf (ocr)
Размер: 35 мб
Язык: русский

Книга предназначена для первоначального знакомства с математическими основами современной теории машинного обучения (Machine Learning) и теории игр с предсказаниями. В первой части излагаются основы статистической теории машинного обучения, рассматриваются задачи классификации и регрессии с опорными векторами, теория обобщения и алгоритмы построения разделяющих гиперплоскостей.

Название: Основы математического анализа (в 2-х частях)
Автор: Фихтенгольц Г. М.
Издательство: Лань
Год: 2020 - 12-е изд.+ 11-е изд.
Cтраниц: 444+464
Формат: pdf
Размер: 67 мб
Язык: русский

Учебник отличается систематическим и строгим изложением основ математического анализа. Материал излагается в логической последовательности и сопровождается примерами, облегчающими процесс усвоения теоретических положений курса.

Название: Engineering Mathematics for Marine Applications
Автор: Umesh A. Korde, R. Cengiz Ertekin
Издательство: Cambridge University Press
Год: 2023
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 20.7 MB

Gaining expertise in marine floating systems typically requires access to multiple resources to obtain the knowledge required, but this book fills the long-felt need for a single cohesive source that brings together the mathematical methods and dynamic analysis techniques required for a meaningful analysis, primarily, of large and small bodies in oceans. You will be introduced to fundamentals such as vector calculus, Fourier analysis, and ordinary and partial differential equations. Then you'll be taken through dimensional analysis of marine systems, viscous and inviscid flow around structures surface waves, and floating bodies in waves. Real-life applications are discussed and end of chapter problems help ensure full understanding. Students and practicing engineers will find this an invaluable resource for developing problem solving and design skills in a challenging ocean environment through the use of engineering mathematics.

Название: Introductory Statistics for Data Analysis
Автор: Warren J. Ewens, Katherine Brumberg
Издательство: Springer
Год: 2023
Страниц: 272
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.

Название: Algorithmic Information Dynamics: A Computational Approach to Causality with Applications to Living Systems
Автор: Hector Zenil, Narsis A. Kiani, Jesper Tegner
Издательство: Cambridge University Press
Год: 2023
Страниц: 345
Язык: английский
Формат: pdf
Размер: 14.3 MB

Biological systems are extensively studied as interactions forming complex networks. Reconstructing causal knowledge from, and principles of, these networks from noisy and incomplete data is a challenge in the field of systems biology. Based on an online course hosted by the Santa Fe Institute Complexity Explorer, this book introduces the field of Algorithmic Information Dynamics, a model-driven approach to the study and manipulation of dynamical systems . It draws tools from network and systems biology as well as information theory, complexity science and dynamical systems to study natural and artificial phenomena in software space. It consists of a theoretical and methodological framework to guide an exploration and generate computable candidate models able to explain complex phenomena in particular adaptable adaptive systems, making the book valuable for graduate students and researchers in a wide number of fields in science from physics to cell biology to cognitive sciences.

Название: Robotics for Cell Manipulation and Characterization
Автор: Changsheng Dai, Guanqiao Shan, Yu Sun
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 380
Язык: английский
Формат: pdf (true)
Размер: 32.8 MB

Robotics for Cell Manipulation and Characterization provides fundamental principles underpinning robotic cell manipulation and characterization, state-of-the-art technical advances in micro/nano robotics, new discoveries of cell biology enabled by robotic systems, and their applications in clinical diagnosis and treatment. This book covers several areas, including robotics, control, computer vision, biomedical engineering and life sciences using understandable figures and tables to enhance readers’ comprehension and pinpoint challenges and opportunities for biological and biomedical research.

Название: Quantum Mechanics in Nanoscience and Engineering
Автор: Uri Peskin
Издательство: ‎Cambridge University Press
Год: 2023
Страниц: 491
Язык: английский
Формат: pdf
Размер: 10.2 MB

Quantum Mechanics in Nanoscience and Engineering covers both elementary and advanced quantum mechanics within a coherent and self-contained framework. Undergraduate students of physics, chemistry and engineering will find comprehensive coverage of their introductory quantum mechanics courses, and graduate students will gain an understanding of additional tools and concepts necessary to describe real world phenomena. Each topic presented is first motivated by an experimental technique, phenomenon or concept derived directly from the realm of nanoscience and technology. The machinery of quantum mechanics is described and reinforced through the perspective of nanoscale phenomena, and in this manner practical and fundamental questions are raised and answered. The main text remains fluent and accessible by leaving technical details and mathematical proofs to guided exercises. Introductory readers may overlook these exercises, while rigorous students can benefit from reading the guidance or solving the exercises in full to strengthen and consolidate their understanding of the material.