Python data mining and machine learning in action

The enhanced third edition of the textbook presents data based on the extensive research conducted by UL and NIST, offering completely revised content in the areas of fire behavior, ventilation, suppr

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically

Packed with step-by-step explanations, this book shows kids how to build all types of games, from puzzles and racers to 3D action games.Your kids will be building computer games and learning code in n

Combining state-of-the-art research with a strong pedagogic approach, this text provides a detailed and complete guide to the theory, practice and applications of optical tweezers. In-depth derivation of the theory of optical trapping and numerical modelling of optical forces are supported by a complete step-by-step design and construction guide for building optical tweezers, with detailed tutorials on collecting and analysing data. Also included are comprehensive reviews of optical tweezers research in fields ranging from cell biology to quantum physics. Featuring numerous exercises and problems throughout, this is an ideal self-contained learning package for advanced lecture and laboratory courses, and an invaluable guide to practitioners wanting to enter the field of optical manipulation. The text is supplemented by www.opticaltweezers.org, a forum for discussion and a source of additional material including free-to-download, customisable research-grade software (OTS) for calculatio

Rational thinking as exemplified in mathematical cognition is immensely important in the modern world. This book documents how a group of three eighth-grade girls developed specific group practices typical of such thinking in an online educational experience. A longitudinal case study tracks the team through eight hour-long sessions, following the students' meaning-making processes through their mutual chat responses preserved in computer logs coordinated with their geometric actions. The examination of data focuses on key areas of the team's development: its effective team collaboration, its productive mathematical discourse, its enacted use of dynamic-geometry tools, and its ability to identify and construct dynamic-geometry dependencies. This detailed study of group cognition serves as a paradigmatic example of computer-supported collaborative learning, incorporating a unique model of human-computer interaction analysis applied to the use of innovative educational technology. A valu

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and

A step-by-step guide to data mining applications in CRMFollowing a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving rea

This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing a

Tell your story and put your data into action with Tableau! Tableau gives you the power to understand your data and put it in a format that is appealing and meaningful for everyone who needs to see it

This book describes the linguistic and pedagogical dimensions of a large action research project that deployed and extended the current work on genre pedagogy to an on-line learning environment. In pa

One of the fastest growing issues in Information Technology (IT) is the increasing need for security, both internal and external, to protect valuable enterprise data and resources. IT security is a mu

Social class is often seen as an intractable barrier to success, yet a number of children from disadvantaged backgrounds still manage to show resilience and succeed against the odds. This book presents the findings from fifty Child and Family Case Studies (CFCS) conducted with 13-16 year olds. The authors look specifically at the roles that people and experiences - at home, in schools and in the wider community - have played in the learning life-courses of these children; how these factors have affected their achievement; and explanations and meanings given by respondents to the unique characteristics, experiences and events in their lives. Featuring the voices of real parents and children, and backed up by a decade of quantitative data, this is a compelling record that will help readers to understand the complex nature of social disadvantage and the interplay between risk and protective factors in homes and schools that can make for a transformational educational experience.

Unleash the power of computer vision with Python using OpenCVAbout This BookCreate impressive applications with OpenCV and PythonFamiliarize yourself with advanced machine learning conceptsHarness the

Neuroradiological emergencies pose important challenges to the on-call physician, demanding thorough preparedness and quick action. This concise, highly illustrated volume covers all facets of emergency neuroradiology in a clear, easily searchable way, making it ideal both for effective learning and for rapid reference. Over 150 cases, accompanied by nearly 800 high-quality CT and MRI images, guide the reader through both common and uncommon presentations in all three key areas: brain, head and neck, and spine. Each case consists of a short history, images, diagnosis, differential diagnosis, key points in bullet form, and suggested readings. The cases are organized into thematic chapters to provide a structured approach for primary learning, but every case remains independent and fully searchable for guidance when on call. With its practically focused approach, this book is a must for radiology residents, fellows and practicing radiologists, and will also benefit specialists in neurolo

The advent of advanced astronomical instruments and huge surveys means that the twenty-first century is witnessing a rapid growth in astrostatistical science. Interpreting the cosmic microwave background, weak and strong gravitational lensing, galaxy clustering and other signatures of the early Universe all require advanced statistical techniques. Led by members of the IAU's newly formed Working Group in Astrostatistics and Astroinformatics, IAU Symposium 306 emphasises the intricate mathematical methods needed to extract scientific insights from large and complicated datasets. It contains contributions on Bayesian methods, weak lensing cosmology, CMB data analysis, cross-correlating datasets, large-scale structure, data mining and machine learning, ongoing surveys and the future Euclid mission. The approaches presented here provide a solid foundation to advance new research methods in cosmology, making it an essential text for the large community of astronomers and statisticians who w

A fascinating exploration of generalized crystallography, quasicrystals, icosahedral packing, other packing considerations, extended structures, data treatment and data mining is presented by luminari

A twelve-year-old boy and his friends must find a way to survive in the mining tunnels after their new space colony is attacked in this gritty action-adventure novel.In space. Underground. And out of

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo

With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and sp

This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language

Family members, friends, coworkers and neighbors are often the first to know that a woman has been abused by an intimate male partner. What is the proper course of action for those with knowledge of abuse? Using a wide range of empirical data from international sources, Renate Klein documents informal third parties as the first port of call, sources of support and interference, and gatekeepers to formal services. Family and social network members disrupt ongoing assaults, respond to disclosures of abuse and provide solace and practical help. These networks do not always side with victims, however, and may either sympathize with or actively support perpetrators. Klein illuminates the complexities of these contingent situations. Her analysis highlights the potential of informal third parties for effective intervention, demonstrating their significant role in promoting societies free from rape and domestic violence.

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Fréchet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicia

MIND ON STATISTICS, Fifth Edition, helps you develop a conceptual understanding of statistical ideas and shows you how to find meaning in data. The authors-who are committed to changing any preconcept

"In this second edition, Vic and Chris have done an excellent job of citing the importance of accurate problem identi cation and the need for validated data input for the decision making process—a mu

This book provides an in-depth, scholarly examination of serial murderers and their victims. Supported by extensive data and research, the book profiles some of the most prominent murderers of our tim

The authority on natural resource use and management agencies around the world.Do you want to take action to protect Earth’s environment? Are you interested in learning more about wildlife conservatio

Learning about the zoo has never been more fun for parents and kids with this board book, which shows baby lions, elephants, and giraffes in action. Get ready to visit the best part of every zoo with

Treaty conflicts are not merely the contingent or inadvertent by-products of the increasing juridification of international relations. In several instances, states have deliberately created treaty conflicts in order to catalyse changes in multilateral regimes. Surabhi Ranganathan uses such conflicts as context to explore the role of international law, in legal thought and practice. Her examinations of the International Law Commission's work on treaties and of various scholars' proposals on institutional action, offer a fresh view of 'mainstream' legal thought. They locate, in a variety of writings, a common faith in international legal discourse, built on liberal and constructivist assumptions. Ranganathan's three rich studies of treaty conflict, relating to the areas of seabed mining, the International Criminal Court, and nuclear governance, furnish a textured account of the specific forms and practices that constitute such a legal discourse and permit a grounded understanding of the

When a young child begins to engage in everyday interaction, she has to acquire competencies that allow her to be oriented to the conventions that inform talk-in-interaction and, at the same time, deal with emotional or affective dimensions of experience. The theoretical positions associated with these domains - social-action and emotion - provide very different accounts of human development and this book examines why this is the case. Through a longitudinal video-recorded study of one child learning how to talk, Michael A. Forrester develops proposals that rest upon a comparison of two perspectives on everyday parent-child interaction taken from the same data corpus - one informed by conversation analysis and ethnomethodology, the other by psychoanalytic developmental psychology. Ultimately, what is significant for attaining membership within any culture is gradually being able to display an orientation towards both domains - doing and feeling, or social-action and affect.

Survey research is a widely used data collection method that involves asking people questions and using their answers as information. Such data can then be used to understand individuals' views in a v

A basic understanding of multiple regression is helpful in carrying out good business practices—specifically in the areas of demand management and data analysis. This book on correlation and regressio

We live in a data-driven world, and the goal of this text is to teach students how to access and analyze these data critically. Authors Rob Gould and Colleen Ryan emphasize that learning statistics ex

SOCIOLOGY IN OUR TIMES: THE ESSENTIALS, 10th Edition presents the latest available data and new insights on behaviors, beliefs, issues, and trends in our nation and world from a sociological perspecti

Educational research is widely believed to be essentially empirical, consisting mainly of collecting and analysing data, with randomised control trials as the 'gold standard'. This book argues that good educational research is often philosophical in nature. Offering a critical overview of the current state of educational research, the authors argue that there are two factors in particular that distort it. One is that throughout the world it is expected to serve the interests of the state in securing educational improvements, as measured by standardised examination results, and to demonstrate 'scientific' credentials sufficient to guarantee absence of ideological bias and carry conviction. The other is that learning to do educational research is generally seen as a matter of being trained in empirical 'research methods'. The authors demonstrate, by contrast, that good educational research needs the rigorous thinking characteristic of philosophy, and that philosophical treatments themsel

Educational research is widely believed to be essentially empirical, consisting mainly of collecting and analysing data, with randomised control trials as the 'gold standard'. This book argues that good educational research is often philosophical in nature. Offering a critical overview of the current state of educational research, the authors argue that there are two factors in particular that distort it. One is that throughout the world it is expected to serve the interests of the state in securing educational improvements, as measured by standardised examination results, and to demonstrate 'scientific' credentials sufficient to guarantee absence of ideological bias and carry conviction. The other is that learning to do educational research is generally seen as a matter of being trained in empirical 'research methods'. The authors demonstrate, by contrast, that good educational research needs the rigorous thinking characteristic of philosophy, and that philosophical treatments themsel

Nations often turn to international courts to help with overcoming collective-action problems associated with international relations. However, these courts generally cannot enforce their rulings, which begs the question: how effective are international courts? This book proposes a general theory of international courts that assumes a court has no direct power over national governments. Member states are free to ignore both the international agreement and the rulings by the court created to enforce that agreement. The theory demonstrates that such a court can, in fact, facilitate cooperation with international law, but only within important political constraints. The authors examine the theoretical argument in the context of the European Union. Using an original data set of rulings by the European Court of Justice, they find that the disposition of court rulings and government compliance with those rulings comport with the theory's predictions.

Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning an

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistic

Emergency medical services (EMS) personnel are thoroughly trained and educated in patient care. They put their knowledge and skills into action at a moment’s notice to treat patients’ illnesses and in