Graphical Models for Machine Learning and Digital Communication

Are you an avid, amateur photographer with a growing collection of digital images that you want to edit and share? "David Busch's Quick Snap Guide to Adobe Photoshop.com: An Instant Start-Up Manual fo

Blockchains are seen as a technology for the future, which reduce the cost of trust and revolutionize transactions between individuals, companies and governments. The sense of using blockchains is to minimize the probability of errors, successful frauds and paper-intensive processes. For these reasons, blockchains already have and will have a significant impact to the society and every day's life, especially in field of Machine to Machine (M2M) communications, which are one of the basic technologies for Internet of Things (IoT). Therefore, blockchains with their inherent property to provide security, privacy and decentralized operation are engine for todays and future reliable, autonomous and trusted IoT platforms. Specially, a disruptive role of ledger technologies in future smart personal mobility systems, which combine smart car industry, smart energy/smart cities will be explained in the book, considering its importance for development of new industrial and business models.

Provides strategies for promoting success in young children, especially those with special needs, by helping them acquire communication, learning, behavioral, emotional, and social skills.

Provides strategies for promoting success in young children, especially those with special needs, by helping them acquire communication, learning, behavioral, emotional, and social skills.

ICT tools and the digital age continue to redefine teaching strategies for both the corporate sector and educational institutions. These teaching environments have enabled openness and interaction in

This book relates contemporary information and communication technologies (ICT) to their specific teaching and learning functions, including how ICT is appropriated for and by educational or learning

Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities it presents.AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, LinkedIn, PwC, Rolls Royce and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from usin

Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities it presents.AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, LinkedIn, PwC, Rolls Royce and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from usin

Most business managers really don't understand 'branding'. They usually think this discipline starts with a new, catchy name and then they become fixated with all the media and digital options that ex

This essential guide to GarageBand on iPad and iOS devices is your foundation for learning music production in the classroom. Written by Dr. Floyd Richmond, noted iPad music expert and the president of TI:ME (Technology Institute for Music Educators), Learning Music with GarageBand on the iPad provides instant insight and wisdom through Dr. Richmond's many years of experience. With this book, students will be able to create music on a higher level than ever before regardless of the depth of their previous musical training. Includes over 40 GarageBand song files. Recording * Record digital audio * Record MIDI and virtual instruments * Record wherever your iOS device goes Performing with Smart Instruments * Perform in numerous styles for each instrument (keys, guitar, bass, percussion)* Perform with authentic musical gestures (keyboard arpeggiator, string articulations)* Perform chords of your choosing Teaching and Learning * Create iPad ensembles * Perform solos with included accompanim

This text outlines historical and newer nursing theories, philosophies, and conceptual models. After an overview of nursing theory and its application to professional practice, chapters address philos

Holzemer and Klainberg (nursing, Aldephi U.) acquaint nursing students with community health nursing and the impact of communication, ethics, management of care, epidemiology, resources, and resource

If you’re a developer familiar with AI, machine learning, and computer vision, this practical book provides you with a foundational understanding of augmented and virtual reality functions. AR a

Now in its third edition, this outstanding textbook explains everything you need to get started using MATLAB®. It contains concise explanations of essential MATLAB commands, as well as easily understood instructions for using MATLAB's programming features, graphical capabilities, simulation models, and rich desktop interface. MATLAB 8 and its new user interface is treated extensively in the book. New features in this edition include: a complete treatment of MATLAB's publish feature; new material on MATLAB graphics, enabling the user to master quickly the various symbolic and numerical plotting routines; and a robust presentation of MuPAD® and how to use it as a stand-alone platform. The authors have also updated the text throughout, reworking examples and exploring new applications. The book is essential reading for beginners, occasional users and experienced users wishing to brush up their skills. Further resources are available from the authors' website at www-math.umd.edu/schol/a-gu

Discover the nonlinear methods and tools needed to design real-world microwave circuits with this tutorial guide. Balancing theoretical background with practical tools and applications, it covers everything from the basic properties of nonlinear systems such as gain compression, intermodulation and harmonic distortion, to nonlinear circuit analysis and simulation algorithms, and state-of-the-art equivalent circuit and behavioral modeling techniques. Model formulations discussed in detail include time-domain transistor compact models and frequency-domain linear and nonlinear scattering models. Learn how to apply these tools to designing real circuits with the help of a power amplifier design example, which covers all stages from active device model extraction and the selection of bias and terminations, through to performance verification. Realistic examples, illustrative insights and clearly conveyed mathematical formalism make this an essential learning aid for both professionals worki

This innovative approach to teaching the finite element method blends theoretical, textbook-based learning with practical application using online and video resources. This hybrid teaching package features computational software such as MATLAB®, and tutorials presenting software applications such as PTC Creo Parametric, ANSYS APDL, ANSYS Workbench and SolidWorks, complete with detailed annotations and instructions so students can confidently develop hands-on experience. Suitable for senior undergraduate and graduate level classes, students will transition seamlessly between mathematical models and practical commercial software problems, empowering them to advance from basic differential equations to industry-standard modelling and analysis. Complete with over 120 end-of chapter problems and over 200 illustrations, this accessible reference will equip students with the tools they need to succeed in the workplace.

Flipped lessons and blended learning are powerful ways to engage digital natives and maximize learning time?both in the classroom and out. Mentor teacher Gina Pasisis offers strategies and tips for ma

This volume addresses the key issue of the initial education and lifelong professional learning of teachers of mathematics to enable them to realize the affordances of educational technology for mathe

At last! A book has finally arrived that takes the worry out of parent-teacher communication. This innovative and original guide makes it easy for preschool teachers to connect with parents and involv

This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations of how realistic deep neural networks actually work. To make results from the theoretical forefront accessible, the authors eschew the subject's traditional emphasis on intimidating formality without sacrificing accuracy. Straightforward and approachable, this volume balances detailed first-principle derivations of novel results with insight and intuition for theorists and practitioners alike. This self-contained textbook is ideal for students and researchers interested in artificial intelligence with minimal prerequisites of linear algebra, calculus, and informal probability theory, and it can easily fill a semester-long course on deep learning theory. For the first time, the exciting practical advances in modern artificial intelligence capabilities can be ma

"This book address existing disconnect between the mainstream of machine perception, based on bottom-up mathematical models of features, and new results of applied cognitive science that allows for cr

It's never too early to learn how to code! Coding For Kids For Dummies helps you learn the basics of coding the fun way. This book walks you through the essentials of coding with 13 exciting projects. You'll learn what coding is, how to make digital toys and games on your computer, and how to start writing your first lines of code! With step-by-step instructions and activities, this book makes it simple to get started. And when you see error messages, don't panic! All new coders make mistakes--this book helps you figure them out and fix them, so your code will be good to go. Along the way, you'll be boosting your creativity, getting better at logical thinking, and learning a skill that will open the door to fun hobbies and careers. So get coding! Learn basic coding concepts and skillsCreate your own digital toys and gamesFigure out how to turn your ideas into codeGet involved in the online coding communityKids who want to learn how to code (and the parents who want to encourage them) c

This volume examines the use of information and communication technologies by African Americans through three case studies. It discusses the models of the information society, focusing on the writings

The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly ap

Youth Community Inquiry offers a detailed look at how young people use new media to help their communities thrive. Chapters address questions about learning, digital technology, and community engageme

Personal epistemology is the study of beliefs associated with knowledge and knowing. A large body of theory and research in personal epistemology has been dedicated to college students, but rarely have the epistemic beliefs of children, adolescents, and their teachers been thoroughly examined. This book incorporates both theoretical and empirical work pertaining to personal epistemology as it specifically relates to learning and instruction. Bringing together leading research on pre-school through high school students' personal epistemology, it re-examines existing conceptual frameworks, introduces new models, provides an empirical foundation for learning and instruction, and considers broader educational implications. In addition, the contributors stress how personal epistemology issues in the classroom need to be more carefully investigated and understood.

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.

Originating from the authors' own graduate course at the University of North Carolina, this material has been thoroughly tried and tested over many years, making the book perfect for a two-term course or for self-study. It provides a concise introduction that covers all of the measure theory and probability most useful for statisticians, including Lebesgue integration, limit theorems in probability, martingales, and some theory of stochastic processes. Readers can test their understanding of the material through the 300 exercises provided. The book is especially useful for graduate students in statistics and related fields of application (biostatistics, econometrics, finance, meteorology, machine learning, and so on) who want to shore up their mathematical foundation. The authors establish common ground for students of varied interests which will serve as a firm 'take-off point' for them as they specialize in areas that exploit mathematical machinery.

Engineers and scientists frequently find themselves having to get involved in electronic circuit design even though this may not be their specialty. This book is specifically designed for these situations, and has two major advantages for the inexperienced designer: it assumes little prior knowledge of electronics and it takes a modular approach, so you can find just what you need without working through a whole chapter. The first three parts of the book start by refreshing the basic mathematics and physics needed to understand circuit design. Part four discusses individual components (resistors, capacitors etc.), while the final and largest section describes commonly encountered circuit elements such as differentiators, oscillators, filters and couplers. A major bonus and learning aid is the inclusion of a CD-ROM with the student edition of the PSpice simulation software, together with models of most of the circuits described in the book.

Essentials of Applied Quantitative Methods for Health Services offers and stresses the application of concepts, models and techniques in understanding quantitative methods in the health service field.

This book presents a novel, but simple approach to mastering elemental and basic conversational Spanish as a mode of communication between English-speaking health care professionals and limited-Englis

Luppicini (communication, U. of Ottawa, Canada) collects 25 case studies on digital technology practices for educational leadership and administration in higher education. Contributors from across the

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of expe

There’s growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing

Personal epistemology is the study of beliefs associated with knowledge and knowing. A large body of theory and research in personal epistemology has been dedicated to college students, but rarely have the epistemic beliefs of children, adolescents, and their teachers been thoroughly examined. This book incorporates both theoretical and empirical work pertaining to personal epistemology as it specifically relates to learning and instruction. Bringing together leading research on pre-school through high school students' personal epistemology, it re-examines existing conceptual frameworks, introduces new models, provides an empirical foundation for learning and instruction, and considers broader educational implications. In addition, the contributors stress how personal epistemology issues in the classroom need to be more carefully investigated and understood.

This volume identifies resources, models, and specific practices for improving teacher preparation for work with second language learners. It shows how faculty positioned themselves to learn from reso

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques to the detection, mitigation, treatment, and elimination of the COVID-19 virus around the world. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes. Data Science for COVID-19, Volume 2 extends the coverage of Volume 1 into research on statistical data and applications of Data Science to a variety of perspectives for analysis and understanding of the wide variety of impacts COVID-19 is having on societies and medical practice around the world.

Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction

Responding to the developments of the past twenty years, Les Kirkup has thoroughly updated his popular book on experimental methods, while retaining the extensive coverage and practical advice from the first edition. Many topics from that edition remain, including keeping a record of work, how to deal with measurement uncertainties, understanding the statistical basis of data analysis and reporting the results of experiments. However, with new technologies influencing how experiments are devised, carried out, analyzed, presented and reported, this new edition reflects the digital changes which have taken place and the increased emphasis on the importance of communication skills in reporting results. Bringing together key elements of experimental methods into one coherent book, it is perfect for students seeking guidance with their experimental work, including how to acquire, analyse and present data. Exercises, worked examples and end-of-chapter problems are provided throughout the boo