Information retrieval (IR) is a fundamental task in many real-world applications such as Web search, question answering systems, and digital libraries. The core of IR is to identify information resources relevant to user's information need. Since there might be more than one relevant resource, the returned result is often organized as a ranked list of documents according to their relevance degree against the information need. The ranking property of IR makes it different from other tasks, and researchers have devoted substantial efforts to develop a variety of ranking models in IR. In recent years, the resurgence of deep learning has greatly advanced this field and led to a hot topic named NeuIR (neural information retrieval), especially the paradigm of pre-training methods (PTMs). Owing to sophisticated pre-training objectives and huge model size, pre-trained models can learn universal language representations from massive textual data that are beneficial to the ranking task of IR. Considering the rapid progress of this direction, this survey provides a systematic review of PTMs in IR. The authors present an overview of PTMs applied in different components of an IR system, including the retrieval component and the re-ranking component. In addition, they introduce PTMs specifically designed for IR, and summarize available datasets as well as benchmark leaderboards. Lastly, they discuss some open challenges and highlight several promising directions with the hope of inspiring and facilitating more works on these topics for future research.

Learn to use, and not be used by, data to make more insightful decisions The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether? Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible. In this timely book, you'll learn to: Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries Find a new path to solid decisions that includes, but isn't dominated, by quantitative data Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company Perfect for business leaders in technology and finance, Decision Intelligence For Dummies is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.

Introduction to Computational Engineering with MATLAB (R) aims to teach readers how to use MATLAB programming to solve numerical engineering problems. The book focuses on computational engineering with the objective of helping engineering students improve their numerical problem-solving skills. The book cuts a middle path between undergraduate texts that simply focus on programming and advanced mathematical texts that skip over foundational concepts, feature cryptic mathematical expressions, and do not provide sufficient support for novices. Although this book covers some advanced topics, readers do not need prior computer programming experience or an advanced mathematical background. Instead, the focus is on learning how to leverage the computer and software environment to do the hard work. The problem areas discussed are related to data-driven engineering, statistics, linear algebra, and numerical methods. Some example problems discussed touch on robotics, control systems, and machine learning. Features: Demonstrates through algorithms and code segments how numeric problems are solved with only a few lines of MATLAB code Quickly teaches students the basics and gets them started programming interesting problems as soon as possible No prior computer programming experience or advanced math skills required Suitable for students at undergraduate level who have prior knowledge of college algebra, trigonometry, and are enrolled in Calculus I MATLAB script files, functions, and datasets used in examples are available for download from http://www.routledge.com/9781032221410.

Introduction to Computational Engineering with MATLAB (R) aims to teach readers how to use MATLAB programming to solve numerical engineering problems. The book focuses on computational engineering with the objective of helping engineering students improve their numerical problem-solving skills. The book cuts a middle path between undergraduate texts that simply focus on programming and advanced mathematical texts that skip over foundational concepts, feature cryptic mathematical expressions, and do not provide sufficient support for novices. Although this book covers some advanced topics, readers do not need prior computer programming experience or an advanced mathematical background. Instead, the focus is on learning how to leverage the computer and software environment to do the hard work. The problem areas discussed are related to data-driven engineering, statistics, linear algebra, and numerical methods. Some example problems discussed touch on robotics, control systems, and machine learning. Features: Demonstrates through algorithms and code segments how numeric problems are solved with only a few lines of MATLAB code Quickly teaches students the basics and gets them started programming interesting problems as soon as possible No prior computer programming experience or advanced math skills required Suitable for students at undergraduate level who have prior knowledge of college algebra, trigonometry, and are enrolled in Calculus I MATLAB script files, functions, and datasets used in examples are available for download from http://www.routledge.com/9781032221410.

Instruction on operating system functionality with examples incorporated for improved learning With the updating of Silberschatz's Operating System Concepts, 10th Edition, students have access to a text that presents both important concepts and real-world applications. Key concepts are reinforced in this global edition through instruction, chapter practice exercises, homework exercises, and suggested readings. Students also receive an understanding how to apply the content. The book provides example programs written in C and Java for use in programming environments.

A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python "cheat sheet" quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming--including familiarity with variables, arrays, loops, if-else statements, and file input and output--who seeks to understand foundational concepts in AI and AI development.

Learn application security from the very start, with this comprehensive and approachable guide! Alice and Bob Learn Application Security is an accessible and thorough resource for anyone seeking to incorporate, from the beginning of the System Development Life Cycle, best security practices in software development. This book covers all the basic subjects such as threat modeling and security testing, but also dives deep into more complex and advanced topics for securing modern software systems and architectures. Throughout, the book offers analogies, stories of the characters Alice and Bob, real-life examples, technical explanations and diagrams to ensure maximum clarity of the many abstract and complicated subjects. Topics include: Secure requirements, design, coding, and deployment Security Testing (all forms) Common Pitfalls Application Security Programs Securing Modern Applications Software Developer Security Hygiene Alice and Bob Learn Application Security is perfect for aspiring application security engineers and practicing software developers, as well as software project managers, penetration testers, and chief information security officers who seek to build or improve their application security programs. Alice and Bob Learn Application Security illustrates all the included concepts with easy-to-understand examples and concrete practical applications, furthering the reader's ability to grasp and retain the foundational and advanced topics contained within.

This two-volume set focuses on fundamental concepts and design goals (i.e., a switch/router's key features), architectures, and practical applications of switch/routers in IP networks. The discussion includes practical design examples to illustrate how switch/routers are designed and how the key features are implemented. Designing Switch/Routers: Fundamental Concepts, Design Methods, Architectures, and Applications begins by providing an introductory level discussion that covers the functions and architectures of the switch/router. The first book considers the switch/router as a generic Layer 2 and Layer 3 forwarding device without placing emphasis on any particular manufacturer's device. The underlining concepts and design methods are not only positioned to be applicable to this generic switch/router, but also to the typical switch/router seen in the industry. The discussion provides a better insight into the protocols, methods, processes, and tools that go into designing switch/routers. The second volume explains the design and architectural considerations, as well as, the typical processes and steps used to build practical switch/routers. It then discusses the advantages of using Ethernet in today's networks and why Ethernet continues to play a bigger role in Local Area Network (LAN), Metropolitan Area Network (MAN), and Wide Area Network (WAN) design. This book set provides a discussion of the design of switch/routers and is written in a style to appeal to undergraduate and graduate-level students, engineers, and researchers in the networking and telecoms industry, as well as academics and other industry professionals. The material and discussion are structured in such a way that they could serve as standalone teaching material for networking and telecom courses and/or supplementary material for such courses.

This two-volume set focuses on fundamental concepts and design goals (i.e., a switch/router's key features), architectures, and practical applications of switch/routers in IP networks. The discussion includes practical design examples to illustrate how switch/routers are designed and how the key features are implemented. Designing Switch/Routers: Fundamental Concepts, Design Methods, Architectures, and Applications begins by providing an introductory level discussion that covers the functions and architectures of the switch/router. The first book considers the switch/router as a generic Layer 2 and Layer 3 forwarding device without placing emphasis on any particular manufacturer's device. The underlining concepts and design methods are not only positioned to be applicable to this generic switch/router, but also to the typical switch/router seen in the industry. The discussion provides a better insight into the protocols, methods, processes, and tools that go into designing switch/routers. The second volume explains the design and architectural considerations, as well as, the typical processes and steps used to build practical switch/routers. It then discusses the advantages of using Ethernet in today's networks and why Ethernet continues to play a bigger role in Local Area Network (LAN), Metropolitan Area Network (MAN), and Wide Area Network (WAN) design. This book set provides a discussion of the design of switch/routers and is written in a style to appeal to undergraduate and graduate-level students, engineers, and researchers in the networking and telecoms industry, as well as academics and other industry professionals. The material and discussion are structured in such a way that they could serve as standalone teaching material for networking and telecom courses and/or supplementary material for such courses.

The follow-up to Cory Althoff's bestselling The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn to program outside of school! Fresh out of college and with just a year of self-study behind him, Cory Althoff was offered a dream first job as a software engineer for a well-known tech company, but he quickly found himself overwhelmed by the amount of things he needed to know, but hadn't learned yet. This experience combined with his personal journey learning to program inspired his widely praised guide, The Self-Taught Programmer. Now Cory's back with another guide for the self-taught community of learners focusing on the foundations of computer science. The Self-Taught Computer Scientist introduces beginner and self-taught programmers to computer science fundamentals that are essential for success in programming and software engineering fields. Computer science is a massive subject that could cover an entire lifetime of learning. This book does not aim to cover everything you would learn about if you went to school to get a computer science degree. Instead, Cory's goal is to give you an introduction to some of the most important concepts in computer science that apply to a programming career. With a focus on data structures and algorithms, The Self-Taught Computer Scientist helps you fill gaps in your knowledge, prepare for a technical interview, feel knowledgeable and confident on the job, and ultimately, become a better programmer. Learn different algorithms including linear and binary search and test your knowledge with feedback loops Understand what a data structure is and study arrays, linked lists, stacks, queues, hash tables, binary trees, binary heaps, and graphs Prepare for technical interviews and feel comfortable working with more experienced colleagues Discover additional resources and tools to expand your skillset and continue your learning journey It's as simple as this: You have to study computer science if you want to become a successful programmer, and if you don't understand computer science, you won't get hired. Ready for a career in programming, coding, or software engineering and willing to embrace an "always be learning" mindset? The Self-Taught Computer Scientist is for you.

Set your students on track to achieve the best grade possible with My Revision Notes: AQA A-level Computer Science. Our clear and concise approach to revision will help students learn, practise and apply their skills and understanding. Coverage of key content is combined with practical study tips and effective revision strategies to create a guide that can be relied on to build both knowledge and confidence. With My Revision Notes: AQA A-level Computer Science, students can: > Consolidate knowledge with clear, focused and relevant content coverage, based on what examiners are looking for > Develop understanding with self-testing - our regular 'Now test yourself,' tasks and answers will help commit knowledge to memory > Improve technique through exam-style practice questions, expert tips and examples of typical mistakes to avoid > Identify key connections between topics and subjects with our 'Learning links' focus > Plan and manage a successful revision programme with our topic-by-topic planner, new exam breakdown feature, user-friendly definitions throughout and questions and answers online

Forget far-away dreams of the future. Artificial intelligence is here now! Every time you use a smart device or some sort of slick technology--be it a smartwatch, smart speaker, security alarm, or even customer service chat box--you're engaging with artificial intelligence (AI). If you're curious about how AI is developed--or question whether AI is real--Artificial Intelligence For Dummies holds the answers you're looking for. Starting with a basic definition of AI and explanations of data use, algorithms, special hardware, and more, this reference simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without. This book will help you: Separate the reality of artificial intelligence from the hype Know what artificial intelligence can accomplish and what its limits are Understand how AI speeds up data gathering and analysis to help you make informed decisions more quickly See how AI is being used in hardware applications like drones, robots, and vehicles Know where AI could be used in space, medicine, and communication fields sooner than you think Almost 80 percent of the devices you interact with every day depend on some sort of AI. And although you don't need to understand AI to operate your smart speaker or interact with a bot, you'll feel a little smarter--dare we say more intelligent--when you know what's going on behind the scenes. So don't wait. Pick up this popular guide to unlock the secrets of AI today!

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis". This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text.

MESH ist ein mathematisches Video ber vielfl chige Netzwerke und ihre Rolle in der Geometrie, der Numerik und der Computergraphik. Der unter Anwendung der neuesten Technologie vollst ndig computergenierte Film spannt einen Bogen von der antiken griechischen Mathematik zum Gebiet der heutigen geometrischen Modellierung. MESH hat zahlreiche wissenschaftliche Preise weltweit gewonnen. Die Autoren sind Konrad Polthier, ein Professor der Mathematik, und Beau Janzen, ein professioneller Filmdirektor.

Der Film ist ein ausgezeichnetes Lehrmittel f r Kurse in Geometrie, Visualisierung, wissenschaftlichem Rechnen und geometrischer Modellierung an Universit ten, Zentren f r wissenschaftliches Rechnen, kann jedoch auch an Schulen genutzt werden.

Prepare for success on the IAPP CIPP/US exam and further your career in privacy with this effective study guide - now includes a downloadable supplement to get you up to date on the 2022 CIPP exam! Information privacy has become a critical and central concern for small and large businesses across the United States. At the same time, the demand for talented professionals able to navigate the increasingly complex web of legislation and regulation regarding privacy continues to increase. Written from the ground up to prepare you for the United States version of the Certified Information Privacy Professional (CIPP) exam, Sybex's IAPP CIPP/US Certified Information Privacy Professional Study Guide also readies you for success in the rapidly growing privacy field. You'll efficiently and effectively prepare for the exam with online practice tests and flashcards as well as a digital glossary. The concise and easy-to-follow instruction contained in the IAPP/CIPP Study Guide covers every aspect of the CIPP/US exam, including the legal environment, regulatory enforcement, information management, private sector data collection, law enforcement and national security, workplace privacy and state privacy law, and international privacy regulation. Provides the information you need to gain a unique and sought-after certification that allows you to fully understand the privacy framework in the US Fully updated to prepare you to advise organizations on the current legal limits of public and private sector data collection and use Includes access to the Sybex online learning center, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms Perfect for anyone considering a career in privacy or preparing to tackle the challenging IAPP CIPP exam as the next step to advance an existing privacy role, the IAPP CIPP/US Certified Information Privacy Professional Study Guide offers you an invaluable head start for success on the exam and in your career as an in-demand privacy professional.

Becoming a Teacher offers a broad context for understanding education, addressing issues such as social justice, educational ideology and teacher well-being and identity. The theoretical content is balanced with practical advice for the classroom on topics such as assessment for learning, behaviour management, differentiation and curriculum planning. Becoming a Teacher draws extensively on contemporary research and empirical evidence to support critical reflection about learning and teaching. Encouraging the reader to reflect on their own knowledge and beliefs, it explores some of the complex social and cultural dimensions that influence professional learning and practice. Becoming a Teacher's approach chimes with the commonly accepted recognition that all those involved in the education of young people should take a research-informed approach towards classroom practice. The substantial rethinking that has informed this sixth edition means the Becoming a Teacher continues to provide invaluable support, guidance and insight for all those training to be secondary teachers and a rich resource for students undertaking undergraduate or postgraduate education studies programmes.

Introduction to Information Systems, 9th Edition delivers an essential resource for undergraduate business majors seeking ways to harness information technology systems to succeed in their current or future jobs. The book assists readers in developing a foundational understanding of information systems and technology and apply it to common business problems. This International Adaptation covers applications of the latest technologies with the addition of new cases from Europe, Middle East, Africa, Australia, and Asia-Pacific countries. It focuses on global business environment for students to understand the norms of using technology while operating on online platforms for exploring new avenues in different geographical locations. The book includes real business scenarios of how latest technologies such as Big Data, Cloud Computing, Blockchain, and IoT are perceived and adopted across countries. New cases highlight key technology issues faced by organizations such as designing and implementing IT security policies, dealing with ethical dilemma of securing customer data, moving IT infrastructure to cloud, and identifying how AI can be used to improve the efficiency of business operations.

Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on non-biological systems. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area.
A must-have for all researchers working on this very hot topic.
Perfectly complements Biomolecular Information Processing, also by Prof. Katz, and available as a two-volume set.

One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th anniversary edition includes an introduction from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography and quantum error-correction. Quantum mechanics and computer science are introduced before moving on to describe what a quantum computer is, how it can be used to solve problems faster than 'classical' computers and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering.

ClearRevise is all about making your revision easy. At the end of the course, doing practice papers is useful - but an exam tutor can make a big difference. This book helps provide support from both angles and will really help you to ace the exam. The first section is your exam tutor. It shows you example questions with model answers. Just like a tutor, it gives you exam tips and lets you know what the examiner is looking for. Secondly, you are then given similar questions from the same topic for you to have a go at, applying your knowledge and tips. With over 400 marks in this section and all the answers provided you'll easily revise the topics as you go. Lastly, there are two complete exam papers written in the same style as the live OCR papers to try. They're exactly the same length and marks as the real exam, providing a realistic experience and a great opportunity to show how much you've progressed.

* This Revision Workbook delivers hassle-free question practice, covering one topic per page and avoiding lengthy set up time. * Build your confidence with guided practice questions, before moving onto unguided questions and practice tests. * With one-to-one page correspondence between the Workbook and the Revision Guide, this hugely popular Revision series offers the best value available for BTEC learners. * Covers both externally assessed Units for 2012 BTEC First in Information and Creative Technology (Units 1 and 2).

Our revision resources are the smart choice for those revising for externally assessed Component 3 in the Digital Information Technology BTEC Tech Award. This book contains four full-length practice assessments, helping you to: Prepare by familiarising yourself with the structure and process for completing your assessment Practice by writing responses straight into the book Perfect your external assessment skills, with targeted hints, guidance and support for evvery question, along with answers. Revision is more than Practice Assessments! Make sure you have revised all the essential content for this unit and know what good responses look like with the accompanying Revise BTEC Tech Award Digital Information Technology Revision Guide. Look out for links to the Revision Guide for further information as you work through these practice assessments.

Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on biomolecules. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area.
A must-have for all researchers working on this very hot topic.
Perfectly complements Molecular and Supramolecular Information Processing, also by Prof. Katz, and available as a two-volume set.