Python data mining and machine learning in action

Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed matter physics and statistical mechanics, this book provides an introduction to computer simulations in physics. The 5th edition contains extensive new material describing numerous powerful algorithms and methods that represent recent developments in the field. New topics such as active matter and machine learning are also introduced. Throughout, there are many applications, examples, recipes, case studies, and exercises to help the reader fully comprehend the material. This book is ideal for graduate students and researchers, both in academia and industry, who want to learn techniques that have become a third tool of physical science, complementing experiment and analytical theory.

Combining anecdotes with scientific data, this book is a journalistic inquiry into what is currently known about zoos and aquariums as sociocultural intersections of mission, public perception, and on-site meaning making. The authors draw on conservation psychology and other social science research to explore how zoos might develop and deliver more effective learning experiences to promote and nurture conservation values and collective action. While people use zoos with specific priorities and motivations in mind, these are social settings. Indeed, it is because they represent an important, vast, and trusted social enterprise that zoos have such powerful opportunities to change how diverse public audiences view, value, identify, and engage with animals and the broader biophysical environment.

Combining anecdotes with scientific data, this book is a journalistic inquiry into what is currently known about zoos and aquariums as sociocultural intersections of mission, public perception, and on-site meaning making. The authors draw on conservation psychology and other social science research to explore how zoos might develop and deliver more effective learning experiences to promote and nurture conservation values and collective action. While people use zoos with specific priorities and motivations in mind, these are social settings. Indeed, it is because they represent an important, vast, and trusted social enterprise that zoos have such powerful opportunities to change how diverse public audiences view, value, identify, and engage with animals and the broader biophysical environment.

Machine learning, big data and AI are reshaping the human experience and forcing us to develop a new ethical intelligence. Peter Hershock offers a new way to think about attention, personal presence,

Machine learning, big data and AI are reshaping the human experience and forcing us to develop a new ethical intelligence. Peter Hershock offers a new way to think about attention, personal presence,

The sixth Global Environment Outlook was launched in 2019 at the fourth UN Environment Assembly. It highlighted the ongoing damage to life and health from pollution and land degradation, and warned that zoonosis was already accounting for more than 60% of human infectious diseases. Since then the spread of COVID-19 has demonstrated the enormous challenges a global pandemic can cause for health care systems and the economy, as well as revealing potential environmental benefits of an altered lifestyle. This Technical Summary synthesizes the science and data in the GEO-6 report to make it accessible to a broad audience of policymakers, students and scientists. It demonstrates that more urgent and sustained action is required to address the degradation caused by our energy, food and waste systems and identifies a variety of transformational pathways for those seeking far-reaching policies for environmental and economic recovery. Also available as Open Access on Cambridge Core.

Covering both quantitative and qualitative methods, this book examines the breadth of modern market research methods for upper level students across business schools and social science faculties. Modern and trending topics including social networks, machine learning, big data, and artificial intelligence are addressed and real world examples and case studies illustrate the application of the methods. This text examines potential problems, such as researcher bias, and discusses effective solutions in the preparation of research reports and papers, and oral presentations. Assuming no prior knowledge of statistics or econometrics, discrete chapters offer a clear introduction to both, opening up the quantitative methods to all students. Each chapter contains rigorous academic theory, including a synthesis of the recent literature as well as key historical references, applied contextualization and recent research results, making it an excellent resource for practitioners. Online resources i

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing

Prepare for clinical practice by "solving" 29 realistic case studies in nutrition and medical nutrition therapy. Using the medical record as its structure, you draw on the information provided (hospital admission data, laboratory test results, intake/output records, and physician and other health care provider progress notes) to solve the case. A series of questions follow the case, focusing on pathophysiology; assessment; clinical, nutritional, and behavioral outcomes; interventions; and appropriate follow-up for the patient.

Covering both quantitative and qualitative methods, this book examines the breadth of modern market research methods for upper level students across business schools and social science faculties. Modern and trending topics including social networks, machine learning, big data, and artificial intelligence are addressed and real world examples and case studies illustrate the application of the methods. This text examines potential problems, such as researcher bias, and discusses effective solutions in the preparation of research reports and papers, and oral presentations. Assuming no prior knowledge of statistics or econometrics, discrete chapters offer a clear introduction to both, opening up the quantitative methods to all students. Each chapter contains rigorous academic theory, including a synthesis of the recent literature as well as key historical references, applied contextualization and recent research results, making it an excellent resource for practitioners. Online resources i

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing

Mood disorders such as depression and bipolar disorder are common mental illnesses, affecting millions of patients worldwide. The application of newly available brain imaging methods to the study of mood disorders holds substantial promise in uncovering the brain mechanisms affected in these illnesses. This comprehensive and authoritative text features contributions from leading international experts, providing easily accessible information on the study of the brain mechanisms involved in the causation of mood disorders and the available treatments. Topics covered include the potential of magnetoencephalography (MEG), neuroimaging brain inflammation in depression, electrophysiology studies in mood disorders, and the applications of machine learning, filling an important gap in available neuropsychiatric literature and highlighting new developments. An invaluable resource for practitioners in the fields of psychiatry, neurology, primary care medicine, and related mental health professio

What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.

Business operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team's performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and als

The updated sixth edition of International Human Resource Management is an authoritative resource that focuses on international human resource management (IHRM) within multinational enterprises (MNEs). The book includes fifteen chapters with rich pedagogy students have come to expect and is organized into four sections:1.Strategic Context2.National and Cultural Context3.Global Talent Management4.Role and the Future of IHRMEach chapter has been designed to lead readers through key topics in a highly engaging and approachable way with learning goals, relevant data, exhibits, figures, vignettes, end-of-chapter case studies, discussion questions, up-to-date content, and numerous references. The sixth edition includes discussions on evolving IHRM topics such as international experiences and adult third culture kids, expanded analyses on health and safety statistics and global workforce analytics, as well as updated and revised illustrations, cases, references.Uncovering precisely why IHRM i

Most human beings grow up speaking more than one language; a lot of us also acquire an additional language or languages other than our mother tongue. This Element in the Second Language Acquisition series investigates the human capacity to learn additional languages later in life and introduces the seminal processes involved in this acquisition. The authors discuss how to analyze learner data and what the findings tell us about language learning; critically assessing a leading theory of how adults learn a second language: Generative SLA. This theory describes both universal innate knowledge and individual experiences as crucial for language acquisition. This Element makes the relevant connections between first and second language acquisition and explores whether they are fundamentally similar processes. Slabakova et al. provide fascinating pedagogical questions that encourage students and teachers to reflect upon the experiences of second language learners.

Learning a new language offers a unique opportunity to discover other cultures as well as one's own. This discovery process is essential for developing 21st-century intercultural communication skills. To help prepare language teachers for their role as guides during this process, this book uses interdisciplinary research from social sciences and applied linguistics on intercultural communication for designing teaching activities that are readily implemented in the language classroom. Diverse language examples are used throughout the book to illustrate theoretical concepts, making them accessible to language teachers at all skill levels. The chapters introduce various perspectives on culture, intercultural communicative competence, analyzing authentic language data, teaching foreign/second languages with an intercultural communication orientation, the intercultural journey, the language-culture-identity connection, as well as resolving miscommunication and cultural conflict. While the i

Learning a new language offers a unique opportunity to discover other cultures as well as one's own. This discovery process is essential for developing 21st-century intercultural communication skills. To help prepare language teachers for their role as guides during this process, this book uses interdisciplinary research from social sciences and applied linguistics on intercultural communication for designing teaching activities that are readily implemented in the language classroom. Diverse language examples are used throughout the book to illustrate theoretical concepts, making them accessible to language teachers at all skill levels. The chapters introduce various perspectives on culture, intercultural communicative competence, analyzing authentic language data, teaching foreign/second languages with an intercultural communication orientation, the intercultural journey, the language-culture-identity connection, as well as resolving miscommunication and cultural conflict. While the i

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine lear

It will soon be impossible to tell what is real and what is fake. Recent advances in AI mean that by scanning images of a person (for example using Facebook), a powerful machine learning system can

Using numerous examples with real data, this textbook closely integrates the learning of statistics with the learning of R. It is suitable for introductory-level learners, allows for curriculum flexibility, and includes, as an online resource, R-code script files for all examples and figures included in each chapter, for students to learn from and adapt and use in their future data analytic work. Other unique features created specifically for this textbook include an online R tutorial that introduces readers to data frames and other basic elements of the R architecture, and a CRAN library of datasets and functions that is used throughout the book. Essential topics often overlooked in other introductory texts, such as data management, are covered. The textbook includes online solutions to all end-of-chapter exercises and PowerPoint slides for all chapters as additional resources, and is suitable for those who do not have a strong background in mathematics.

Learning to program isn't just learning the details of a programming language: to become a good programmer you have to become expert at debugging, testing, writing clear code and generally unsticking yourself when you get stuck, while to do well in a programming course you have to learn to score highly in coursework and exams. Featuring tips, stories and explanations of key terms, this book teaches these skills explicitly. Examples in Python, Java and Haskell are included, helping you to gain transferable programming skills whichever language you are learning. Intended for students in Higher or Further Education studying early programming courses, it will help you succeed in, and get the most out of, your course, and support you in developing the software engineering habits that lead to good programs.

Donald Trump, the Arab Spring, Brexit: digital media have provided political actors and citizens with new tools to engage in politics. These tools are now routinely used by activists, candidates, non-governmental organizations, and parties to inform, mobilize, and persuade people. But what are the effects of this retooling of politics? Do digital media empower the powerless or are they breaking democracy? Have these new tools and practices fundamentally changed politics or is their impact just a matter of degree? This clear-eyed guide steps back from hyperbolic hopes and fears to offer a balanced account of what aspects of politics are being shaped by digital media and what remains unchanged. The authors discuss data-driven politics, the flow and reach of political information, the effects of communication interventions through digital tools, their use by citizens in coordinating political action, and what their impact is on political organizations and on democracy at large.

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.

Microeconomics is a classroom-tested resource for learning the key concepts, essential tools, and applications of microeconomics. This leading textbook enables students to recognize and analyze significant data, patterns, and trends in real markets through its integrated, student-friendly approach to the subject — providing practice problems, hands-on exercises, illustrative examples, and engaging applications that ground theory firmly in the real world. Each chapter, opening with a set of clearly defined learning goals based on the Bloom Taxonomy, features numerous Learning-by-Doing (LBD) problems, mathematical and graphical data, and varied problem sets focused on current events.Now in its sixth edition, the text offers extensive new and revised content throughout. All applications reflect current data and important new developments in the field of economics, including behavioral economics, randomized controlled trials (RCTs) in policy evaluation and design, and computational-based m

Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramificatio

This book has been written with the mine operator in mind. Much has been written on the procedures to gather and analyze data for implementing into a design process. Although there is wide experience

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

From foraging patterns in a single tree to social interactions across a home range, how primates use space is a key question in the field of primate behavioral ecology. Drawing on the latest advances in spatial analysis tools, this book offers practical guidance on applying geographic information systems (GIS) to central questions in primatology. An initial methodological section discusses niche modelling, home range analysis and agent-based modelling, with a focus on remote data collection. Research-based chapters demonstrate how ecologists apply this technology to a suite of topics including: calculating the intensity of use of both range and travel routes, assessing the impacts of logging, mining and hunting, and informing conservation strategies.

From foraging patterns in a single tree to social interactions across a home range, how primates use space is a key question in the field of primate behavioral ecology. Drawing on the latest advances in spatial analysis tools, this book offers practical guidance on applying geographic information systems (GIS) to central questions in primatology. An initial methodological section discusses niche modelling, home range analysis and agent-based modelling, with a focus on remote data collection. Research-based chapters demonstrate how ecologists apply this technology to a suite of topics including: calculating the intensity of use of both range and travel routes, assessing the impacts of logging, mining and hunting, and informing conservation strategies.

Over the last decade, cost pressures, technology, automation, globalisation, de-regulation, and changing client relationships have transformed the practice of law, but legal education has been slow to respond. Deciding what learning objectives a law degree ought to prioritise, and how to best strike the balance between vocational and academic training, are questions of growing importance for students, regulators, educators, and the legal profession. This collection provides a range of perspectives on the suite of skills required by the future lawyer and the various approaches to supporting their acquisition. Contributions report on a variety of curriculum initiatives, including role-play, gamification, virtual reality, project-based learning, design thinking, data analytics, clinical legal education, apprenticeships, experiential learning and regulatory reform, and in doing so, offer a vision of what modern legal education might look like.

Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

Quilters want to finish their quilts--and that means doing their own machine quilting. In Free-Motion Quilting 101, teacher and quilter Ashley Nickels provides in-depth instruction on learning the tec