Python Data Science Handbook

Designing Data Reports that Work provides research-based best practices for constructing effective data systems in schools and for designing reports that are relevant, necessary, and easily understood

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directi

The world has become digital and technological advances have multiplied circuits with access to data, their processing and their diffusion. New technologies have now reached a certain maturity. Data a

Since publication of the bestselling Environmental Data Analysis with MATLABR, many advances have been made in environmental data analysis. This new edition expands fundamentally on the original with

In an era where many believe Big Data has rendered human perception and observation 'old-school' or passe, Martin Lindstrom shows that mining and matching technological data with up-close psychologica

???This handbook is a resource for evidence-based science with respect to recent discoveries in the growing field of epigenetics and children’s health. Epigenetics involves environmental stressor

Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over

This book introduces two basic big data processing paradigms for batch data and streaming data. Representative programming frameworks are also presented, as well as software defined networking (

We perceive color everywhere and on everything that we encounter in daily life. Color science has progressed to the point where a great deal is known about the mechanics, evolution, and development of color vision, but less is known about the relation between color vision and psychology. However, color psychology is now a burgeoning, exciting area and this Handbook provides comprehensive coverage of emerging theory and research. Top scholars in the field provide rigorous overviews of work on color categorization, color symbolism and association, color preference, reciprocal relations between color perception and psychological functioning, and variations and deficiencies in color perception. The Handbook of Color Psychology seeks to facilitate cross-fertilization among researchers, both within and across disciplines and areas of research, and is an essential resource for anyone interested in color psychology in both theoretical and applied areas of study.

Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of

Occupational Neurology a volume in the Handbook of Clinical Neurology Series,provides a comprehensive overview of the science, clinical diagnosis, and treatment for neurotoxin related neurological and

Cay Horstmanni??s second edition of Python for Everyone provides a comprehensive and approachable introduction to fundamental programming techniques and design skills, and helps students master basic

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on

The rapid developments in GIS such as data integration, representation, spatial data products, and new spatial data mining methods, are forcing users to deal with data of unknown or ambiguous quality;

Presenting current political science insights and data on the impact of ideology on public life, the presidency, Congress, and the courts, Stephen E. Schier and Todd E. Eberly offer an up-to-minute gu

Nanomaterials Handbook, Second Edition

A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage

“In this comprehensive book, Professor Randy Deutsch has unlocked and laid bare the twenty-first centurycodice nascosto of architecture. It is data. Big data. Data as driver. . .This book offers us th

This is not a handbook for farmers. Farmers look after chickens, cows and pigs. Anyone can do that. This is not a handbook for zookeepers. Zookeepers look after monkeys, elephants and lions. That's ea

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median f

This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, datab

This is the latest addition to a group of handbooks covering the field of morphology, alongsideThe Oxford Handbook of Case (2008), The Oxford Handbook of Compounding(2009), and The Oxford Handbook of

Strategies and Tactics in Organic Synthesis provides a forum for investigators to discuss their approach to the science and art of organic synthesis. Rather than a simple presentation of data or a sec

Data as a Service shows how organizations can leverage “data as a service” by providing real-life case studies on the various and innovative architectures and related patterns Comprehensive approach

This book introduces Python programming language and fundamental concepts in algorithms and computing. Its target audience includes students and engineers with little or no background in programming,

Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required in

Networking and communication are important aspects of big data, especially when real-time or near real-time applications are demanded. For example, the storage of big data depends on distributed syste

Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data

This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from the fundamentals

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar obje

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technic

This book presents a comprehensive approach to protecting sensitive information when large data collections are released by their owners. It addresses three key requirements of data privacy: the prote

A social representations approach offers an empirical utility for addressing myriad social concerns such as social order, ecological sustainability, national identity, racism, religious communities, the public understanding of science, health and social marketing. The core aspects of social representations theory have been debated over many years and some still remain widely misunderstood. This Handbook provides an overview of these core aspects and brings together theoretical strands and developments in the theory, some of which have become pillars in the social sciences in their own right. Academics and students in the social sciences working with concepts and methods such as social identity, discursive psychology, positioning theory, semiotics, attitudes, risk perception and social values will find this an invaluable resource.

In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data.

Data Design: Visualising Quantities, Locations, Connections is a highly practical guide to the graphic representation of quantities, locations, connections and other forms of data, founded on solid de

See How Graphics Reveal InformationGraphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which g

Microsoft Excel is a powerful tool that can transform the way you use data. Thisbook explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving sci

Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main area

Incorporating currencies, payment methods, and protocols that computers use to talk to each other, digital currencies are poised to grow in use and importance.The Handbook of Digital Currency gives re

The Primary Teacher’s Career Handbook is invaluable to all those in primary education. This essential and unique handbook sets out a complete and much needed career development path for primary school