Graphical Models for Machine Learning and Digital Communication

3e_PB&AC(拆封不退)■學生課本附線上練習(附解答) (拆封不退)■CEFR Level: C1■適用程度: Advanced■線上資源含：額外單字及文法練習、Test & Train 官方線上模擬試題■線上平台網址：cambridgeone.org ★購買提示自修建議購買學生自修組合(課本+作業本，附解答，9781109162401)課堂使用建議購買學生組合(內含課本+作業本，無附解答，9781009162395)教師教學另有教師手冊可參考教學指南並下載教學資源 (9781009162388)This course allows you to maximize students' performance with the Complete approach to language development and exam training. It creates a stimulating learning environment with eye-catching images, easy-to-navigate units and fun topics. Students are able to build confidence through our unique understanding of the exam and insights from previous candidate performance, and the Complete exam journey for successful and stress-free outcomes. Access the Cambridge One Digital Pack, optimized for a range of devices, for your bank of learning resources, accompanying Audio and eBook. Flexible activities include Practice Extra, and Test &Train to build strategies and skills for exam success.

In just 24 lessons of one hour or less, Design Thinking for Tech helps you inject techniques and exercises into your projects using the same systematic and creative process that designers have used for years. Anderson walks you through a simple four-phase Design Thinking model, showing how to loop back, keep learning, and continuously refine your work. You'll start by understanding the essential "what, how, when, why, and who" of Design Thinking. Next, you'll use core Design Thinking techniques to understand the big picture, focus on your most critical problems, think more creatively about them, take the next best steps toward problem resolution and value creation, and along the way rapidly iterate for progress. Every lesson builds on what you've already learned, with exercises crafted to deliver directly relevant experience. Regardless of your role in the world of technology, you'll learn how to supercharge success for any tech-related project, business initiative, or digital transfor

■作業本附Digital Pack(拆封不退)■英式英語■CEFR Level: Pre-A1■適用程度: Complete Beginner■線上平台網址：cambridgeone.org■Digital Pack含額外單字、文法、YLE備考練習活動及課程影片★購買提示 :學生作業本不含解答，如需解答者請購買教師手冊(9781108895514)The Activity Book, now in colour, covers the target language from the Pupil's Book. One exam practice activity per unit familiarises children with the format of the Cambridge English Qualification for young learners. A unique access code inside the front cover unlocks extra language practice, games and the course audio in an online learning platform.

An approachable and motivational guide for professionals looking to improve their communication and networking skills.In a world where human interactions and behaviour are more pivotal than ever to business success, Working With Influence sets out ten easy-to-apply principles, based on robust behavioural science, for influencing people and outcomes in both physical and digital workplace scenarios. It provides ambitious early to mid-career professionals with a set of actionable principles which will help them kick-start, accelerate or transform their careers.Technology is taking over the most basic jobs and is becoming the primary medium through which we interact with colleagues and clients, so it is crucial for us to understand how to influence others and stand out in this new digital landscape. Further, with the hugely competitive and unpredictable nature of the job market and the unstable economy, early career professionals understand that they will need to improve their qualitative

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

Introduce your little one to the wonders of nature with 100+ outdoor learning activities!Give your child all the benefits of nature with this activity book designed for children ages 2-5. Whether you’re planning an afternoon in a local park, a day in the backyard, or a morning hike in a nature preserve, you and your child will find more than 100 ideas in these pages for observing, exploring, creating, and playing in nature.Nature Activity Book for Little Ones features: 100+ outdoor activities for kids ages 2-5, geared toward their interests and developmental milestones—with little or no preparation requiredBonus activities for additional learning, including numbers, letters, shapes, and colorsSchool prep: the activities teach problem-solving, communication, and responsibility, important skills for school succesLess screen time and more nature time together to fuel your child’s curiosity and creativity and help them build an early connection with natureBest of all, this entertaining boo

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

For 80 years, mathematics has driven fundamental innovation in computing and communications. This timely book provides a panorama of some recent ideas in mathematics and how they will drive continued innovation in computing, communications and AI in the coming years. It provides a unique insight into how the new techniques that are being developed can be used to provide theoretical foundations for technological progress, just as mathematics was used in earlier times by Turing, von Neumann, Shannon and others. Edited by leading researchers in the field, chapters cover the application of new mathematics in computer architecture, software verification, quantum computing, compressed sensing, networking, Bayesian inference, machine learning, reinforcement learning and many other areas.

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.

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; found

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.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

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.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Practising rhymes and action songs has a huge impact on children’s growth and learning, from their cognitive and communication skills, to social development and emotional wellbeing. There’s no better

From New York Times bestselling author Cal Newport comes a bold vision for liberating workers from the tyranny of the inbox--and unleashing a new era of productivity. Modern knowledge workers communicate constantly. Their days are defined by a relentless barrage of incoming messages and back-and-forth digital conversations--a state of constant, anxious chatter in which nobody can disconnect, and so nobody has the cognitive bandwidth to perform substantive work. There was a time when tools like email felt cutting edge, but a thorough review of current evidence reveals that the hyperactive hive mind workflow they helped create has become a productivity disaster, reducing profitability and perhaps even slowing overall economic growth. Equally worrisome, it makes us miserable. Humans are simply not wired for constant digital communication. We have become so used to an inbox-driven workday that it's hard to imagine alternatives. But they do exist. Drawing on years of investigative reporting

Grab your camera and learn everything you need to know to improve your photography in just 20 weeks. The perfect one-on-one learning programme for any aspiring photographer, Digital Photography Comp

The fifth edition of this popular textbook continues to provide a solid foundation of pharmacological knowledge for all those working in anaesthesia and intensive care. The content has been thoroughly revised to include expanded chapters with clearer figures, ensuring readers are kept abreast of the ever-changing landscape of clinical pharmacology. Conveniently divided into four sections covering the basic principles of pharmacology, core drugs in anaesthetic practice, cardiovascular drugs, and other important drugs and complemented by new diagrams, tables and chemical formulae to facilitate learning. All four chapters on core drugs in anaesthetic practice have been updated along with others exploring applied pharmacokinetic models, antimicrobials, and drugs used in diabetes. An ideal aid to study and practice for junior and trainee anaesthetists and intensive care specialists preparing for exams. Also an invaluable resource for theatre practitioners, ICU nurses and physicians working

The second and expanded edition of a comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.This textbook offers a comprehensive and self-co