Practical Data Processing and Analysis Using R

This second edition of Digital Analytics for Marketing provides students with a comprehensive overview of the tools needed to measure digital activity and implement best practices when using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.Demonstrating how to integrate large amounts of data from web, digital, social, and search platforms, this helpful guide offers actionable insights into data analysis, explaining how to "connect the dots" and "humanize" information to make effective marketing decisions. The authors cover timely topics, such as social media, web analytics, marketing analytics challenges, and dashboards, helping students to make sense of business measurement challenges, extract insights, and take effective actions. The book's experiential approach, combined with chapter objectives, summaries, and review questions, will engage readers, deepening their learning by helpi

In the era of 'Algorithmic Medicine, ' the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and perspicuously addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between

Based on the Judicial Transparency Index Assessment (2019 and 2020) conducted in China by the Institute of Law of the Chinese Academy of Social Sciences, this book summarizes and analyzes the current situation of judicial openness in China, using a sample of 218 courts across the country for the study. The book analyzes the ideological and institutional origins of judicial openness and examines the operation of judicial openness through the practical experience of role replacement. By analyzing evaluation data in the fields of audit information disclosure, trial information disclosure, judicial enforcement data disclosure, and judicial reform data disclosure, the book points out that the current judicial disclosure has made significant progress, but there are still problems such as unclear disclosure standards, insufficient rigidity in disclosure requirements, and the scope of disclosure still needs to be expanded.The book recommends accelerating the disclosure of judicial legislation,

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

The Teenage years are critical for learning, understanding the world, and discovering new hobbies and passions. It is a period of maturation and self-discovery during which adolescents learn more about themselves and their place in the world.These are exciting times, but they may also be intimidating. It's easy to feel overwhelmed by the responsibilities of growing up, with so much to learn and so many new experiences.This is where this book comes into play. To assist kids in navigating one of the most important obligations and obstacles that every young adult must face: money.Ferne Bowe (author of Life Skills for Young Adults and Life Skills for Tweens)'s Skills for Teenagers teaches a teen what he or she needs to know about personal money. This book covers all of the fundamental money skills that every teenager should know, from budgeting and saving to investing and credit development.The book provides practical guidance to help kids build a healthy relationship with money by using r

This book examines the first cycle of urbanization, collapse and reurbanization in the 4th-2nd millennium BCE Levant. The core of the study is a detailed analysis of settlement fluctuations and material culture development in the Hula Valley, at the crossroads between modern Israel, Syria and Lebanon. Focusing on field data and a close reading of the material text, the book emphasizes the variety exhibited in patterns of cultural and social change when small, densely settled regions are carefully scrutinized. Using the concepts of time-space edges and shifting loci of power, the study suggests new scenarios to explain changes in the regional archaeological record, and considers the implications these have for existing reconstructions of social evolution in the larger region. The Levant is shown to be composed of a fluid mosaic of polities that moved along multiple, if often parallel, paths towards and away from complexity. This book is for anyone studying the archaeology of early sta

This book explores the legal and practical implications of the digital age for employment and industrial relations. To that end, the book analyses the problems arising from the digitalisation of work and the negative effects on working conditions in fields such as platform work, robotisation, discrimination, data protection, and freedom of speech. It also looks at how to ensure decent working conditions for workers affected by digitalisation, by investigating the minimum standards that should be ensured to mitigate negative effects – and how these could be best guaranteed by legislation and collective bargaining.The book presents a theoretical framework on the impact of automatisation, robotics, and digitalisation on the very basic principles of individual and collective labour law. The chapters provide an in-depth analysis of new patterns of work prompted by digitalisation, including: classification of platform workers; recognition of employment and social security rights; competition

This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slide

Why do people run for office with opposition parties in electoral authoritarian regimes, where the risks of running are high, and the chances of victory are bleak? In Activist Origins of Political Ambition, Keith Weghorst offers a theory that candidacy decisions are set in motion in early life events and that civic activism experiences and careers in civil society organizations funnel aspirants towards opposition candidacy in electoral authoritarian regimes. The book also adapts existing explanations of candidacy decisions derived from leading democracies that can be applied to electoral authoritarian contexts. The mixed-methods research design features an in-depth study of Tanzania using original survey data, sequence methods, archival research, and qualitative data combined with an analysis of legislators across authoritarian and democratic regimes in Africa. A first-of-its kind study, the book's account of the origins of candidacy motivations offers contributions to its study in aut

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Learn to assess electromigration reliability and design more resilient chips in this comprehensive and practical resource. Beginning with fundamental physics and building to advanced methodologies, this book enables the reader to develop highly reliable on-chip wiring stacks and power grids. Through a detailed review on the role of microstructure, interfaces and processing on electromigration reliability, as well as characterisation, testing and analysis, the book follows the development of on-chip interconnects from microscale to nanoscale. Practical modeling methodologies for statistical analysis, from simple 1D approximation to complex 3D description, can be used for step-by-step development of reliable on-chip wiring stacks and industrial-grade power/ground grids. This is an ideal resource for materials scientists and reliability and chip design engineers.

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

This compact course is written for the mathematically literate reader who wants to learn to analyze data in a principled fashion. The language of mathematics enables clear exposition that can go quite deep, quite quickly, and naturally supports an axiomatic and inductive approach to data analysis. Starting with a good grounding in probability, the reader moves to statistical inference via topics of great practical importance – simulation and sampling, as well as experimental design and data collection – that are typically displaced from introductory accounts. The core of the book then covers both standard methods and such advanced topics as multiple testing, meta-analysis, and causal inference.

Michelson's analysis of almost 150,000 divorce trials reveals routine and egregious violations of China's own laws upholding the freedom of divorce, gender equality, and the protection of women's physical security. Using 'big data' computational techniques to scrutinize cases covering 2009–2016 from all 252 basic-level courts in two Chinese provinces, Henan and Zhejiang, Michelson reveals that women have borne the brunt of a dramatic intensification since the mid-2000s of a decades-long practice of denying divorce requests. This book takes the reader upstream to the institutional sources of China's clampdown on divorce and downstream to its devastating and highly gendered human toll, showing how judges in an overburdened court system clear their oppressive dockets at the expense of women's lawful rights and interests. This book is a must-read for anyone interested in Chinese courts, judicial decision-making, family law, gender violence, and the limits and possibilities of the globaliza

An interdisciplinary and easy-to-understand introduction to the subject, covering fundamental theory and practical applications, and using numerous operational examples. This balanced text will allow you to begin from what the radar observes and move deeper through electromagnetic scattering theory and cloud microphysics to understand and interpret data as it appears on the display. It uses illustrations and figures of real radar observations to convey concepts and theory of atmospheric processes typically observed with weather radar, as well presenting a working knowledge of the radar system itself. In addition to covering fundamentals of scattering and atmospheric physics, topics include system hardware, signal processing, and radar networks. This is the perfect tool for scientists and engineers working on weather radars or using radars and their data, as well as senior undergraduate and graduate students studying weather radars.

Averroes on Intellect provides a detailed analysis of the Muslim philosopher Averroes (Ibn Rushd)'s notorious unicity thesis -- the view that there is only one separate and eternal intellect for all human beings. It focuses directly on Averroes' arguments, both from the text of Aristotle's DeAnima and, more importantly, his own philosophical arguments in the Long Commentary on the De Anima. Stephen Ogden defends Averroes' interpretation of De Anima using a combination of Greek, Arabic, Latin, and contemporary sources. Yet, Ogden also insists that Averroes is not merely a 'commentator' but an incisive philosopher in his own right. The author thus reconstructs and analyzes Averroes' twomost significant independent philosophical arguments, the Determinate Particular Argument and the Unity Argument. Alternative ancient and medieval views are also considered throughout, especially from two important foils before and after Averroes, namely, Avicenna (Ibn Sina) and Thomas Aquinas.Aquinas' mos

A multitude of processes in hydrology and environmental engineering are either random or entail random components which are characterized by random variables. These variables are described by frequency distributions. This book provides an overview of different systems of frequency distributions, their properties, and applications to the fields of water resources and environmental engineering. A variety of systems are covered, including the Pearson system, Burr system, and systems commonly applied in economics, such as the D'Addario, Dagum, Stoppa, and Esteban systems. The latter chapters focus on the Singh system and the frequency distributions deduced from Bessel functions, maximum entropy theory, and the transformations of random variables. The final chapter introduces the genetic theory of frequency distributions. Using real-world data, this book provides a valuable reference for researchers, graduate students, and professionals interested in frequency analysis.

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models. The bestseller revised Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library, written by the creator of Keras himself. This revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. In Deep Learning with Python, Second Edition, updated from the original bestseller with over 50% new content, you'll explore challenging concepts and practice applications in computer vision, natural-language processing, and generative models, building your understanding through practical examples and intuitive explanations that make the complexities of deep learning easily accessible. Purchase of the print book

Using easy-to-follow mathematics, this textbook provides comprehensive coverage of block codes and techniques for reliable communications and data storage. It covers major code designs and constructions from geometric, algebraic, and graph-theoretic points of view, decoding algorithms, error control additive white Gaussian noise (AWGN) and erasure, and dataless recovery. It simplifies a highly mathematical subject to a level that can be understood and applied with a minimum background in mathematics, provides step-by-step explanation of all covered topics, both fundamental and advanced, and includes plenty of practical illustrative examples to assist understanding. Numerous homework problems are included to strengthen student comprehension of new and abstract concepts, and a solutions manual is available online for instructors. Modern developments, including polar codes, are also covered. An essential textbook for senior undergraduates and graduates taking introductory coding courses,

Sentence comprehension - the way we process and understand spoken and written language - is a central and important area of research within psycholinguistics. This book explores the contribution of computational linguistics to the field, showing how computational models of sentence processing can help scientists in their investigation of human cognitive processes. It presents the leading computational model of retrieval processes in sentence processing, the Lewis and Vasishth cue-based retrieval mode, and develops a principled methodology for parameter estimation and model comparison/evaluation using benchmark data, to enable researchers to test their own models of retrieval against the present model. It also provides readers with an overview of the last 20 years of research on the topic of retrieval processes in sentence comprehension, along with source code that allows researchers to extend the model and carry out new research. Comprehensive in its scope, this book is essential readi

'Animal spirits' is a term that describes the instincts and emotions driving human behaviour in economic settings. In recent years, this concept has been discussed in relation to the emerging field of narrative economics. When unscheduled events hit the stock market, from corporate scandals and technological breakthroughs to recessions and pandemics, relationships driving returns change in unforeseeable ways. To deal with uncertainty, investors engage in narratives which simplify the complexity of real-time, non-routine change. This book assesses the novelty-narrative hypothesis for the U.S. stock market by conducting a comprehensive investigation of unscheduled events using big data textual analysis of financial news. This important contribution to the field of narrative economics finds that major macro events and associated narratives spill over into the churning stream of corporate novelty and sub-narratives, spawning different forms of unforeseeable stock market instability.

Thoroughly updated, the 9th edition of this bestselling textbook incorporates global trends and data, supported by an exemplary case selection based on firms from around the world. The internationally cited author team of Czinkota, Ronkainen, and Gupta balance conceptual understanding of business theory with the day-to-day realities of business practice, preparing students to become successful participants in the global business place. This edition brings greater focus on Asia and emerging markets, as well as Brexit, the impact of COVID-19 on business and the importance of technology and the digital space to international business practice. Through its discussion and analysis, the book guides students to a greater understanding of contemporary business issues and helps them to develop new tools of analysis. Covering all key aspects of international business, the authors emphasize a few key dimensions: international context, role of government in international business, small- and mediu

Thoroughly updated, the 9th edition of this bestselling textbook incorporates global trends and data, supported by an exemplary case selection based on firms from around the world. The internationally cited author team of Czinkota, Ronkainen, and Gupta balance conceptual understanding of business theory with the day-to-day realities of business practice, preparing students to become successful participants in the global business place. This edition brings greater focus on Asia and emerging markets, as well as Brexit, the impact of COVID-19 on business and the importance of technology and the digital space to international business practice. Through its discussion and analysis, the book guides students to a greater understanding of contemporary business issues and helps them to develop new tools of analysis. Covering all key aspects of international business, the authors emphasize a few key dimensions: international context, role of government in international business, small- and mediu

Master the technique of using ESP32 as an edge device in any IoT application where wireless communication can make life easierKey Features: Gain practical experience in working with ESP32Learn to interface various electronic devices such as sensors, integrated circuits (ICs), and displaysApply your knowledge to build real-world automation projectsBook Description: Developing IoT Projects with ESP32 provides end-to-end coverage of secure data communication techniques from sensors to cloud platforms that will help you to develop production-grade IoT solutions by using the ESP32 SoC. You'll learn how to employ ESP32 in your IoT projects by interfacing with different sensors and actuators using different types of serial protocols.This book will show you how some projects require immediate output for end-users, and cover different display technologies as well as examples of driving different types of displays. The book features a dedicated chapter on cybersecurity packed with hands-on examp

This is an engaging introduction to the study of language for undergraduate or beginning graduate students, aimed especially at those who would like to continue further linguistic study. It introduces students to analytical thinking about language, but goes beyond existing texts to show what it means to think like a scientist about language, through the exploration of data and interactive problem sets. A key feature of this text is its flexibility. With its focus on foundational areas of linguistics and scientific analysis, it can be used in a variety of course types, with instructors using it alongside other information or texts as appropriate for their own courses of study. The text can also serve as a supplementary text in other related fields (Speech and Hearing Sciences, Psychology, Education, Computer Science, Anthropology, and others) to help learners in these areas better understand how linguists think about and work with language data. No prerequisites are necessary. While ea

This is an engaging introduction to the study of language for undergraduate or beginning graduate students, aimed especially at those who would like to continue further linguistic study. It introduces students to analytical thinking about language, but goes beyond existing texts to show what it means to think like a scientist about language, through the exploration of data and interactive problem sets. A key feature of this text is its flexibility. With its focus on foundational areas of linguistics and scientific analysis, it can be used in a variety of course types, with instructors using it alongside other information or texts as appropriate for their own courses of study. The text can also serve as a supplementary text in other related fields (Speech and Hearing Sciences, Psychology, Education, Computer Science, Anthropology, and others) to help learners in these areas better understand how linguists think about and work with language data. No prerequisites are necessary. While ea

Data are not only ubiquitous in society, but are increasingly complex both in size and dimensionality. Dimension reduction offers researchers and scholars the ability to make such complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite of modern unsupervised dimension reduction techniques along with hundreds of lines of R code, to efficiently represent the original high dimensional data space in a simplified, lower dimensional subspace. Launching from the earliest dimension reduction technique principal components analysis and using real social science data, I introduce and walk readers through application of the following techniques: locally linear embedding, t-distributed stochastic neighbor embedding (t-SNE), uniform manifold approximation and projection, self-organizing maps, and deep autoencoders. The result is a well-stocked toolbox of unsupervised algorithms for tackling the complexities of high dimensional data so common in modern

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics.As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation.

Over the past decades, public trust in medical professionals has steadily declined. This decline of trust and its replacement by ever tighter regulations is increasingly frustrating physicians. However, most discussions of trust are either abstract philosophical discussions or social science investigations not easily accessible to clinicians. The authors, one a surgeon-turned-philosopher, the other an analytical philosopher working in medical ethics, joined their expertise to write a book which straddles the gap between the practical and theoretical. Using an approach grounded in the methods of conceptual analysis found in analytical philosophy which also draws from approaches to medical diagnosis, the authors have conceived an internally coherent and comprehensive definition of trust to help elucidate the concept and explain its decline in the medical context. This book should appeal to all interested in the ongoing debate about the decline of trust - be it as medical professionals, m

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

What explains the peculiar spatial variation of Maoist insurgency in India? Mukherjee develops a novel typology of colonial indirect rule and land tenure in India, showing how they can lead to land inequality, weak state and Maoist insurgency. Using a multi-method research design that combines qualitative analysis of archival data on Chhattisgarh and Andhra Pradesh states, Mukherjee demonstrates path dependence of land/ethnic inequality leading to Maoist insurgency. This is nested within a quantitative analysis of a district level dataset which uses an instrumental variable analysis to address potential selection bias in colonial choice of princely states. The author also analyses various Maoist documents, and interviews with key human rights activists, police officers, and bureaucrats, providing rich contextual understanding of the motivations of agents. Furthermore, he demonstrates the generalizability of his theory to cases of colonial frontier indirect rule causing ​ethnic secessio

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 book focuses on the practical application of statistical techniques for assessing measurement invariance with less emphasis on theoretical development or exposition. Instead, it describes the methods using a pedagogical framework followed by extensive illustrations that demonstrate how to use software to analyze real data. The chapters illustrate the practical methods to assess measurement invariance and shows how to apply them to a range of data. The computer syntax and data sets used in this book are available for download here: people.umass.edu/cswells.

Learn Quantum Computing with Python and Q# introduces quantum computing from a practical perspective. Summary Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you'll build your own quantum simulator and apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Quantum computers present a radical leap in speed and computing power. Improved scientific simulations and new frontiers in cryptography that are impossible with classical computing may soon be in reach. Microsoft's Quantum Development Kit and the Q# language give you the tools to experiment with quantum computing without knowing advanced math or theoretical physics. About the book Learn Quantum Computing with Python and Q# introduces quantum computing from a practical pers

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

Prevailing views suggest rebels govern to enhance their organizational capacity, but this book demonstrates that some rebels undertake costly governance projects that can imperil their cadres during war. The origins for this choice began with the Chinese Communist Party (CCP) during the Chinese Civil War. The CCP knowingly introduced challenging governance projects, but nevertheless propagated its strategy globally, creating a behavioural model readily available to later rebels. The likelihood of whether later rebels' will imitate this model is determined by the compatibility between their goals and the CCP's objectives; only rebels that share the CCP's revolutionary goals decide to mimic the CCP's governance fully. Over time, ideational and material pressures further encouraged (and occasionally rewarded) revolutionary rebels' conformity to the CCP's template. Using archival data from six countries, primary rebel sources, fieldwork and quantitative analysis, Governing for Revolution u

Prevailing views suggest rebels govern to enhance their organizational capacity, but this book demonstrates that some rebels undertake costly governance projects that can imperil their cadres during war. The origins for this choice began with the Chinese Communist Party (CCP) during the Chinese Civil War. The CCP knowingly introduced challenging governance projects, but nevertheless propagated its strategy globally, creating a behavioural model readily available to later rebels. The likelihood of whether later rebels' will imitate this model is determined by the compatibility between their goals and the CCP's objectives; only rebels that share the CCP's revolutionary goals decide to mimic the CCP's governance fully. Over time, ideational and material pressures further encouraged (and occasionally rewarded) revolutionary rebels' conformity to the CCP's template. Using archival data from six countries, primary rebel sources, fieldwork and quantitative analysis, Governing for Revolution u