It for Business a Student's Guide to the Technology of Business Pdf (8 results)

Paperback. Condition: new. Paperback. This workbook combines methodology and practice for use in a course for beginning translators with a solid proficiency in French It takes a linguistic approach to the problems of translation in addressing common and major pitfalls, such as delineation of "translation units' or what constitutes a concept beyond mere words, word polysemy, false cognates, structural and cultural obstacles to literal translation. It offers chapter-by-chapter explanations of the various strategies used by professional translators to counter these problems: the translation devices known as transposition, modulation, equivalence and adaptation. Each chapter concludes with a variety of practice exercises focusing on one specific problem. The second part of the book is a global application of all the principles taught in the first part and guides the student step by step through the actual translation of a choice of literary (prose, poetry and plays) and non-literary excerpts.Features include: Each problem in translation is given a specific chapterEach chapter ends with practice exercises for that specific problem in translationModels of literary and non-literary translation are given to guide the student towards what to aim for in translationA list of free online resources for translation in specific fields, such as business, medicine, the law, computer science, science and technology, slang and idiomatic expressions, is provided at the end of the bookA list of books on translation studies is provided at the endFor this second edition, clarifications have been provided in the chapters on the theory of translation that deal with the various strategies used in translation in order to make those strategies more understandable. Furthermore, extra exercises to practice each strategy have been added with model-examples on how to do these exercises before each exercise. Update of some content has also been added throughout the book.Class support for instructors has been updated in the form of a PDF document on the various translations strategies to show in class with extra exercises to use with students and is made available to them as well as keys to all exercises for the new edition upon writing the Publisher at The Beginning Translators Workbook or the ABCs of French to English Translation combines methodology and practice for use in translation courses for beginners with a proficiency level in French ranging from intermediate to advanced, under the guidance and supervision of an instructor Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business usersContains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reportingUses a practical tone and integrates multiple topics in a coherent frameworkDemystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in RShows readers how to visualize results in static and interactive reportsSupplementary materials includes PDF slides based on the books content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Paperback. This workbook combines methodology and practice for use in a course for beginning translators with a solid proficiency in French It takes a linguistic approach to the problems of translation in addressing common and major pitfalls, such as delineation of "translation units' or what constitutes a concept beyond mere words, word polysemy, false cognates, structural and cultural obstacles to literal translation. It offers chapter-by-chapter explanations of the various strategies used by professional translators to counter these problems: the translation devices known as transposition, modulation, equivalence and adaptation. Each chapter concludes with a variety of practice exercises focusing on one specific problem. The second part of the book is a global application of all the principles taught in the first part and guides the student step by step through the actual translation of a choice of literary (prose, poetry and plays) and non-literary excerpts.Features include: Each problem in translation is given a specific chapterEach chapter ends with practice exercises for that specific problem in translationModels of literary and non-literary translation are given to guide the student towards what to aim for in translationA list of free online resources for translation in specific fields, such as business, medicine, the law, computer science, science and technology, slang and idiomatic expressions, is provided at the end of the bookA list of books on translation studies is provided at the endFor this second edition, clarifications have been provided in the chapters on the theory of translation that deal with the various strategies used in translation in order to make those strategies more understandable. Furthermore, extra exercises to practice each strategy have been added with model-examples on how to do these exercises before each exercise. Update of some content has also been added throughout the book.Class support for instructors has been updated in the form of a PDF document on the various translations strategies to show in class with extra exercises to use with students and is made available to them as well as keys to all exercises for the new edition upon writing the Publisher at The Beginning Translators Workbook or the ABCs of French to English Translation combines methodology and practice for use in translation courses for beginners with a proficiency level in French ranging from intermediate to advanced, under the guidance and supervision of an instructor Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business usersContains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reportingUses a practical tone and integrates multiple topics in a coherent frameworkDemystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in RShows readers how to visualize results in static and interactive reportsSupplementary materials includes PDF slides based on the books content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science. The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices. Provides a practical guide for non-experts with a focus on business usersContains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reportingUses a practical tone and integrates multiple topics in a coherent frameworkDemystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in RShows readers how to visualize results in static and interactive reportsSupplementary materials includes PDF slides based on the books content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion Site The Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condition: Neu. Neuware - Introduces professionals and scientists to statistics and machine learning using the programming language RWritten by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It covers a wide range of topics in a single volume, including big data, databases, statistical machine learning, data wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science.The Big R-Book for Professionals: From Data Science to Learning Machines and Reporting with R includes nine parts, starting with an introduction to the subject and followed by an overview of R and elements of statistics. The third part revolves around data, while the fourth focuses on data wrangling. Part 5 teaches readers about exploring data. In Part 6 we learn to build models, Part 7 introduces the reader to the reality in companies, Part 8 covers reports and interactive applications and finally Part 9 introduces the reader to big data and performance computing. It also includes some helpful appendices.\* Provides a practical guide for non-experts with a focus on business users\* Contains a unique combination of topics including an introduction to R, machine learning, mathematical models, data wrangling, and reporting\* Uses a practical tone and integrates multiple topics in a coherent framework\* Demystifies the hype around machine learning and AI by enabling readers to understand the provided models and program them in R\* Shows readers how to visualize results in static and interactive reports\* Supplementary materials includes PDF slides based on the book's content, as well as all the extracted R-code and is available to everyone on a Wiley Book Companion SiteThe Big R-Book is an excellent guide for science technology, engineering, or mathematics students who wish to make a successful transition from the academic world to the professional. It will also appeal to all young data scientists, quantitative analysts, and analytics professionals, as well as those who make mathematical models.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Secure your business in a post-pandemic world: Master digital risk identification and defensePurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Become well-versed with sophisticated system-level security risks and the zero-trust frameworkLearn about remote working risks, modern collaboration, and securing the digital data estateKeep up with rapidly evolving compliances and regulations and their impact on cyber risksBook Description:With the rapid pace of digital change today, especially since the pandemic sped up digital transformation and technologies, it has become more important than ever to be aware of the unknown risks and the landscape of digital threats. This book highlights various risks and shows how business-as-usual operations carried out by unaware or targeted workers can lead your organization to a regulatory or business risk, which can impact your organization's reputation and balance sheet.This book is your guide to identifying the topmost risks relevant to your business with a clear roadmap of when to start the risk mitigation process and what your next steps should be. With a focus on the new and emerging risks that remote-working companies are experiencing across diverse industries, you'll learn how to manage risks by taking advantage of zero trust network architecture and the steps to be taken when smart devices are compromised. Toward the end, you'll explore various types of AI-powered machines and be ready to make your business future-proof.In a nutshell, this book will direct you on how to identify and mitigate risks that the ever- advancing digital technology has unleashed.What You Will Learn:Become aware of and adopt the right approach to modern digital transformationExplore digital risks across companies of all sizesStudy real-world cases that focus on post-pandemic digital transformationUnderstand insider threats and how to mitigate vulnerability exploitationGet to know how cyberwarfare targets infrastructure and disrupts critical systemsDiscover how implementing a regulatory framework can safeguard you in the current and future data landscapesWho this book is for:This book is for three categories of readers-those who own a business and are planning to scale it; those who are leading business and technology charters in large companies or institutions; and those who are academically or disciplinarily targeting cybersecurity and risk management as a practice-area.Essentially, this book is for board members, and professionals working in IT, GRC, and legal domains. It will also help technology leaders, including chief digital officers, chief privacy officers, chief risk officers, CISOs, CIOs, as well as students and cybersecurity enthusiasts with basic awareness of risks to navigate the digital threat landscape.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to implement, deploy, and manage blockchain solutions across AWS, Azure, and GCP with the help of hands-on labs and real-world use casesKey FeaturesLearn architecture design patterns and access code samples for building Web3 apps in the cloudMaster the latest tools and cloud technologies for integrating DevOps in blockchain applicationsStrengthen your understanding of cloud-native blockchain through real-world use cases and best practicesPurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook DescriptionAs Web3 technologies continue to gain momentum across industries, businesses are looking for new ways to leverage the benefits of Web3 and stay at the forefront of technological innovation. This comprehensive guide offers an in-depth exploration of cloud-native blockchain fundamentals, providing valuable insights into the benefits and challenges of deploying these technologies in the cloud.From foundational concepts to advanced techniques, the book covers everything you need to know about developing and deploying secure, scalable blockchain solutions on AWS, Azure, and GCP. Through hands-on tutorials and projects, you'll explore the latest tools, technologies, real-world use cases, and best practices to expand your understanding of the field's complexities and opportunities. This book ensures easy comprehension through practical examples and access to source code on GitHub. As you advance, you'll master platform selection and apply your newfound knowledge to tackle complex problems and deliver innovative cloud-native blockchain solutions tailored for your specific needs.By the end of this book, you'll have a deep understanding of cloud-native blockchain deployment and implementation, and you'll be equipped with the skills and knowledge to build secure and scalable solutions.What you will learnDiscover the benefits and challenges of deploying Web3 solutions in the cloudDeploy secure and scalable blockchain networks leveraging AWS, Azure, and GCP resourcesFollow step-by-step tutorials and code samples to build Web3 solutions in the cloudUse hosted Kubernetes platforms, such as EKS, AKS, and GKE, for custom blockchainsCompare the blockchain capabilities and offerings of AWS, Azure, and Google CloudFamiliarize yourself with the tools and techniques for automating DevOps practices tailored to Web3 appsWho this book is forThe book is for cloud developers and DevOps engineers who want to leverage blockchain technologies in their cloud-native solutions. Whether you're an IT professional deploying and maintaining Web3 solutions in the enterprise or in public settings, or a business leader evaluating blockchain's potential, this resource is invaluable. Entrepreneurs, students, academics, and hobbyists exploring the latest Web3 development trends will also benefit from this book. Prior knowledge of cloud computing and blockchain concepts is recommended to make the best use of the expert insights, hands-on tutorials, and real-world use cases presented. Table of ContentsUnderstanding Cloud-Native and BlockchainOverview of AWS, Azure, and GCP Services for BlockchainDevOps for Cloud-Native Blockchain SolutionsGetting Started with Amazon Managed BlockchainHosting a Blockchain Network on Elastic Kubernetes ServiceBuilding Records with Amazon Quantum Ledger DatabaseHosting a Corda DLT Network on Azure Kubernetes ServiceUsing the Ledger Features of Azure SQLLeveraging Azure Confidential LedgerHosting an Ethereum Blockchain Network on Google Cloud Platform(N.B. Please use the Look Inside option to see further chapters).