Python Data Science Handbook

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

The first ever interdisciplinary handbook in the field, this vital resource offers wide-ranging analysis of health research regulation. The chapters confront gaps between documented law and research in practice, and draw on legal, ethical and social theories about what counts as robust research regulation to make recommendations for future directions. The Handbook provides an account and analysis of current regulatory tools - such as consent to participation in research and the anonymization of data to protection participants' privacy - as well as commentary on the roles of the actors and stakeholders who are involved in human health research and its regulation. Drawing on a range of international examples of research using patient data, tissue and other human materials, the collective contribution of the volume is to explore current challenges in delivering good medical research for the public good and to provide insights on how to design better regulatory approaches. This title is al

Experimental syntax is an area that is rapidly growing as linguistic research becomes increasingly focused on replicable language data, in both fieldwork and laboratory environments. The first of its kind, this handbook provides an in-depth overview of current issues and trends in this field, with contributions from leading international scholars. It pays special attention to sentence acceptability experiments, outlining current best practices in conducting tests, and pointing out promising new avenues for future research. Separate sections review research results from the past 20 years, covering specific syntactic phenomena and language types. The handbook also outlines other common psycholinguistic and neurolinguistic methods for studying syntax, comparing and contrasting them with acceptability experiments, and giving useful perspectives on the interplay between theoretical and experimental linguistics. Providing an up-to-date reference on this exciting field, it is essential readin

Economic activity is more globally integrated than ever before, but so is the scope of corporate misconduct. As more and more people across the world are affected by such malfeasance, the differences in legal redress have become increasingly visible. This transparency has resulted in a growing convergence towards an American model of robust private enforcement of the law, including the class-action lawsuit. This handbook brings together scholars from nearly two dozen countries to describe and assess the class-action procedure (or its equivalent) in their respective countries and, where possible, to offer empirical data on these systems. At the same time, the work presents a variety of multidisciplinary perspectives on class actions, from economics to philosophy, making this handbook an essential resource to academics, lawyers, and policymakers alike.

Many students find it daunting to move from studying environmental science, to designing and implementing their own research proposals. This book provides a practical introduction to help develop scientific thinking, aimed at undergraduate and new graduate students in the earth and environmental sciences. Students are guided through the steps of scientific thinking using published scientific literature and real environmental data. The book starts with advice on how to effectively read scientific papers, before outlining how to articulate testable questions and answer them using basic data analysis. The Mauna Loa CO2 dataset is used to demonstrate how to read metadata, prepare data, generate effective graphs and identify dominant cycles on various timescales. Practical, question-driven examples are explored to explain running averages, anomalies, correlations and simple linear models. The final chapter provides a framework for writing persuasive research proposals, making this an essent

Experimental political science has changed. In two short decades, it evolved from an emergent method to an accepted method to a primary method. The challenge now is to ensure that experimentalists design sound studies and implement them in ways that illuminate cause and effect. Ethical boundaries must also be respected, results interpreted in a transparent manner, and data and research materials must be shared to ensure others can build on what has been learned. This book explores the application of new designs; the introduction of novel data sources, measurement approaches, and statistical methods; the use of experiments in more substantive domains; and discipline-wide discussions about the robustness, generalizability, and ethics of experiments in political science. By exploring these novel opportunities while also highlighting the concomitant challenges, this volume enables scholars and practitioners to conduct high-quality experiments that will make key contributions to knowledge.

This landmark handbook collects in a single volume the current state of cutting-edge research on the capability approach. It includes a comprehensive introduction to the approach as well as new research from leading scholars in this increasingly influential multi-disciplinary field, including the pioneers of capability research, Martha C. Nussbaum and Amartya Sen. Incorporating both approachable introductory chapters and more in-depth analysis relating to the central philosophical, conceptual and theoretical issues of capability research, this handbook also includes analytical and measurement tools, as well as policy approaches which have emerged in the recent literature. The handbook will be an invaluable resource for students approaching the capability approach for the first time as well as for researchers engaged in advanced research in a wide range of disciplines, including development studies, economics, gender studies, political science and political philosophy.

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can

It’s not just fake news. Bullshit is everywhere. Now, two science professors give us the tools to dismantle misinformation and think clearly in a data-saturated world.The world is awash in bullshit, a

Political sociology is a large and expanding field with many new developments, and The New Handbook of Political Sociology supplies the knowledge necessary to keep up with this exciting field. Written by a distinguished group of leading scholars in sociology, this volume provides a survey of this vibrant and growing field in the new millennium. The Handbook presents the field in six parts: theories of political sociology, the information and knowledge explosion, the state and political parties, civil society and citizenship, the varieties of state policies, and globalization and how it affects politics. Covering all subareas of the field with both theoretical orientations and empirical studies, it directly connects scholars with current research in the field. A total reconceptualization of the first edition, the new handbook features nine additional chapters and highlights the impact of the media and big data.

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic

The definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basi

With Ultimate Atlas, Theo Deutinger-architect, designer and author of the acclaimed Handbook of Tyranny- illustrates the basic data of Earth and its inhabitants to create a total portrait of the plane

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questi

Uncloistered by the web, science is finding its way into previously unimagined audiences. Whether collecting data in one’s backyard to help wildlife experts manage wolf populations or even fundi

Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse FieldsNumerical analysis is a core subject in data science and an essential tool for applied mathematicians, e

This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and huma

This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. With a wealth of illustrations and examples to explain the key features of the theory and to connect with real-world applications, additional material to explore more advanced concepts, and numerous end-of-chapter problems to test the reader's knowledge, this textbook is the 'go-to' guide for learning about the core principles of statistical inference and its application in engineering and data science. The password-protected solutions manual and the image gallery from the book are available online.

Handbook on the Physics and Chemistry of Rare Earths: Including Actinides, Volume 54, is a continuous series of books covering all aspects of rare earth science, including chemistry, life sciences, ma

The non-technical handbook for cyber security in the insurance industrySolving Cyber Risk distills a decade of research into a practical framework for cyber security. Blending statistical data and cos

This guide offers a rapid introduction to Python programming to anyone with no experience in programming, taking a careful and methodical approach to presenting the features available and their use fo

This book presents lecture materials from the Third LOFAR Data School, transformed into a coherent and complete reference book describing the LOFAR design, along with descriptions of primary science c

This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.

This handbook brings together contributors from the United States, Australasia and Europe who use theoretical insights and empirical data to examine current practices as well as possible future direct

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout th

This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireles

本書是Python用戶的一本百科式學習指南，由Python社區數百名成員協作奉獻。全書內容分為三大部分。第一部分是關於如何配置使用Python編輯工具的；第二部分深入學習地道Python風格的代碼範例；第三部分研究Python社區常用的一些代碼庫。本書適合有一定Python基礎的人員學習，幫助你迅速從小工修煉成專家，編寫出高質量的代碼！

There continues to be a vigorous public debate in our society about the status of climate science. Much of the skepticism voiced in this debate suffers from a lack of understanding of how the science works - in particular the complex interdisciplinary scientific modeling activities such as those which are at the heart of climate science. In this book Eric Winsberg shows clearly and accessibly how philosophy of science can contribute to our understanding of climate science, and how it can also shape climate policy debates and provide a starting point for research. Covering a wide range of topics including the nature of scientific data, modeling, and simulation, his book provides a detailed guide for those willing to look beyond ideological proclamations, and enriches our understanding of how climate science relates to important concepts such as chaos, unpredictability, and the extent of what we know.

Data structure refers to the assimilation of data in a way so that it can be used efficiently. The important types of data structures are the record, the array, the table, the file, the tree, the clas

This book examines the increasing popularity of online citizen science projects arising from developments in ICT and rapid improvements in data storage and generation. As these new technologies allow

A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software in Python, with no prior programming experience required.The Second

A unique mix of delicious bitters recipes and botanical science for a fresh take on an increasingly popular topic.Botany at the Bar is a bitter-making handbook with a beautiful, botanical difference--

How we understand and define qualitative data is changing, with implications not only for the techniques of data analysis, but also how data are collected. New devices, technologies and online spaces

This book introduces optics through the use of simulations, namely, Python. Students, researchers, and engineers will be able to use Python simulations to better understand the basic concepts of optic

Handbook on the Physics and Chemistry of Rare Earths: Including Actinides, Volume 52, is a continuous series of books covering all aspects of rare earth science, including chemistry, life sciences, ma

Computer scientists and engineers introduce semantic computing from the perspectives of understanding semantics, data science, data integration, and applications. Among their topics are methods and

"This book addresses the challenges associated with data analysis through providing guidance in data retrieval and analysis and examples of high-quality research making use of these data sets. It incl

This book presents the findings of a survey that analyzes a unique set of data in science and technolog and provides a clear and simple synthesis of heterogeneous databases on the gender gap in the ST