The Britannica Enciclopedia Moderna covers all fields of knowledge, including arts, geography, philosophy, science, sports, and much more. Users will enjoy a quick reference of 24,000 entries and 2.5 million words. More then 4,800 images, graphs, and tables further enlighten students and clarify subject matter. The simple A-Z organization and clear descriptions will appeal to both Spanish speakers and students of Spanish.
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists
Information and Knowledge Engineering is a compendium of articles and papers that were presented at IKE '16, an international conference that serves researchers, scholars, professionals, students, and academicians.
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
While many professional translators believe the ability to translate is a gift that one either has or does not have, Allison Beeby Lonsdale questions this view. In her innovative book, Beeby Lonsdale demonstrates how teachers can guide their students by showing them how insights from communication theory, discourse analysis, pragmatics, and semiotics can illuminate the translation process. Using Spanish to English translation as her example, she presents the basic principles of translation through 29 teaching units, which are prefaced by objectives, tasks, and commentaries for the teacher, and through 48 task sheets, which show how to present the material to students. Published in English.
Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix.
A book focused solely on Andean Cloud Forests (ACF) has never been published. ACF are high biodiversity ecosystems in the Neotropics with a large proportion of endemic species, and are important for the hydrology of entire regions. They provide water for large parts of the Amazon basin, for example. Here I take advantage of my many years working in ACF in Ecuador, to edit this book that contains the following sections: (1) ACF over space and time, (2) Hydrology, (3) Light and the Carbon cycle, (4) Soil, litter, fungi and nutrient cycling, (5) Plants, (6) Animals, and (7) Human impacts and management. Under this premise, international experts contributed chapters that consist of reviews of what is known about their topic, of what research they have done, and of what needs to be done in the future. This work is suitable for graduate students, professors, scientists, and researcher-oriented managers.
This book provides ten case studies with concise real-world examples illustrating how MAXQDA is used in practice. In each research example, the authors present their way of using MAXQDA, addressing a variety of practical questions, such as how the coding system was developed, how coded documents were analyzed, what tools were used, and how those tools informed the results. Embedded in the context of each research example, readers can follow analytical processes step-by-step and gain insights into efficient ways to use MAXQDA. Readers can benefit from this book in several ways: - Get inspirations and solutions for their own projects - Avoid pitfalls by considering the lessons learned from each author presented at the end of each chapter - Use the examples in teaching Audience: - All researchers who want to get to learn the potential of qualitative data analysis with MAXQDA - All users of MAXQDA who want to expand their knowledge and skills, no matter if they are novices or experts
This book presents peer-reviewed contributions on smart universities by various international research, design and development teams. Smart university is an emerging and rapidly evolving area that creatively integrates innovative concepts; smart software and hardware systems; smart classrooms with state-of-the-art technologies and technical platforms; smart pedagogy based on modern teaching and learning strategies; smart learning and academic analytics; as well as various branches of computer science and computer engineering. The contributions are grouped into several parts: Part 1—Smart Universities: Literature Review and Creative Analysis, Part 2—Smart Universities: Concepts, Systems and Technologies, Part 3—Smart Education: Approaches and Best Practices, and Part 4—Smart Universities: Smart Long Life Learning. The book is a valuable source of research data and findings, design and development outcomes, and best practices for faculty, scholars, Ph.D students, administrators, practitioners and anyone interested in the rapidly growing areas of smart university and smart education.
