The Basic Computing Skills You Need to Enhance Your Academic Education Computing Fundamentals provides students with the basic computing skills needed to get the most from their educational endeavors, regardless of field of study. Written by Microsoft Office Master Instructor Faithe Wempen, this detailed resource helps you develop a strong understanding of how computers work and how they affect our society. In addition to helping you master essential computing tasks such as working with operating systems, applications, and the Internet, this book also provides you with all the knowledge you need for computing basics. Learn the types of computer hardware and how they work together Understand operating systems and application software Get a complete introduction to Windows® 7 Learn the basics of Microsoft® Office applications Understand the essential technologies behind networking, the Internet, and the web Learn how to protect your online privacy and security Explore legal, ethical, and health issues of computing Each chapter includes a summary, list of key terms, and sample questions to help you master basic computer skills.
This book focuses on ambient intelligence and addresses various issues related to data management, networking and HCI in this context. Taking a holistic view, it covers various levels of abstraction, ranging from fundamental to advanced concepts and brings together the contributions of various specialists in the field. Moreover, the book covers the key areas of computer science concerned with the emergence of ambient intelligence (e.g. interaction, middleware, networks, information systems, etc.). It even goes slightly beyond the borders of computer science with contributions related to smart materials and ethics. The authors cover a broad spectrum, with some chapters dedicated to the presentation of basic concepts and others focusing on emerging applications in various fields such as health, transport and tourism.
This book is an edition of the General Report on Tunny with commentary that clarifies the often difficult language of the GRT and fitting it into a variety of contexts arising out of several separate but intersecting story lines, some only implicit in the GRT. Explores the likely roots of the ideas entering into the Tunny cryptanalysis Includes examples of original worksheets, and printouts of the Tunny-breaking process in action Presents additional commentary, biographies, glossaries, essays, and bibliographies
A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.
The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.
The expert-led, full-coverage supporting guide for all four ITIL exams ITIL Intermediate Certification Companion Study Guide is your ultimate support system for the Intermediate ITIL Service Capability exams. Written by Service Management and ITIL framework experts, this book gives you everything you need to pass, including full coverage of all objectives for all four exams. Clear, concise explanations walk you through the process areas, concepts, and terms you need to know, and real-life examples show you how they are applied by professionals in the field every day. Although this guide is designed for exam preparation, it doesn't stop there – you also get expert insight on major topics in the field. The discussion includes operational support and analysis; planning, protection and optimization; release, control and validation; and service offerings and agreements that you'll need to know for the job. ITIL is the most widely-adopted IT Service Management qualification in the world, providing a practical, no-nonsense framework for identifying, planning, delivering, and supporting IT services to businesses. This book is your ideal companion for exam preparation, with comprehensive coverage and detailed information. Learn service strategy principles, organization, and implementation Master the central technologies used in IT Service Management Be aware of inherent challenges, risks, and critical success factors Internalize the material covered on all four ITIL exams The ITIL qualification is recognized around the globe, and is seen as the de facto certification for those seeking IT Service Management positions. Passing these exams requires thorough preparation and rigorous self-study, but the reward is a qualification that can follow you anywhere. ITIL Intermediate Certification Companion Study Guide for the ITIL Service Capability Exams leads you from Foundation to Master, giving you everything you need for exam success.
Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. The text also simulates energy consumption profiles for single and multiple buildings. Based on these datasets, Support Vector Machine (SVM) models are trained and tested to do the prediction. Suitable for novice, intermediate, and advanced readers, this is a vital resource for building designers, engineers, and students.
Kick start your journey into computing and prepare for your IC3 certification With this essential course book you'll be sending e-mails, surfing the web and understanding the basics of computing in no time. Written by Faithe Wempen, a Microsoft Office Master Instructor and author of more than 120 books, this complete guide to the basics has been tailored to provide comprehensive instruction on the full range of entry-level computing skills. It is a must for students looking to move into almost any profession, as entry-level computing courses have become a compulsory requirement in the modern world. This great resource brings readers up to speed on computing basics, and helps them achieve competency on a computer quickly and easily. The book covers everything from computer hardware and software to the underlying functionality of a computer, and helps readers gain the skills and knowledge they need to move forward in their careers, or to successfully prepare for the IC3 Exam. Learn about computer hardware, software and other basic functions Get a full introduction to Windows and Microsoft Office Create polished documents and presentations in Microsoft Excel, PowerPoint and Word 2010 Gain an understanding of web basics, connectivity, security and privacy Written especially for students and those interested in learning more about computing, the book includes bonus questions, PowerPoint slides and bonus tasks to help put new skills into practice immediately.
Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. Predict outcomes using linear and ensemble algorithm families Build predictive models that solve a range of simple and complex problems Apply core machine learning algorithms using Python Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.
Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today’s most interesting and challenging biometric problems. Biometric traits covered: Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.