This book provides a philosophical defence of open borders. Two policy dogmas are the right of sovereign states to restrict immigration and the infeasibility of opening borders. These dogmas persist in face of the human suffering caused by border controls and in spite of a global economy where the mobility of goods and capital is combined with severe restrictions on the movement of most of the world’s poor. Alex Sager argues that immigration restrictions violate human rights and sustain unjust global inequalities, and that we should reject these dogmas that deprive hundreds of millions of people of opportunities solely because of their place of birth. Opening borders would promote human freedom, foster economic prosperity, and mitigate global inequalities. Sager contends that studies of migration from economics, history, political science, and other disciplines reveal that open borders are a feasible goal for political action, and that citizens around the world have a moral obligation to work toward open borders.
This book proposes a cosmopolitan ethics that calls for analyzing how economic and political structures limit opportunities for different groups, distinguished by gender, race, and class. The author explores the implications of criticisms from the social sciences of Eurocentrism and of methodological nationalism for normative theories of mobility. These criticisms lend support to a cosmopolitan social science that rejects a principled distinction between international mobility and mobility within states and cities. This work has interdisciplinary appeal, integrating the social sciences, political philosophy, and political theory.
Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop About This Book This is a primer on functional-programming-style techniques to help you efficiently process and analyze all of your data Get acquainted with the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning Learn the best practices to incorporate new Big Data machine learning in your data-driven enterprise to gain future scalability and maintainability Who This Book Is For Mastering Scala Machine Learning is intended for enthusiasts who want to plunge into the new pool of emerging techniques for machine learning. Some familiarity with standard statistical techniques is required. What You Will Learn Sharpen your functional programming skills in Scala using REPL Apply standard and advanced machine learning techniques using Scala Get acquainted with Big Data technologies and grasp why we need a functional approach to Big Data Discover new data structures, algorithms, approaches, and habits that will allow you to work effectively with large amounts of data Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail Since the advent of object-oriented programming, new technologies related to Big Data are constantly popping up on the market. One such technology is Scala, which is considered to be a successor to Java in the area of Big Data by many, like Java was to C/C++ in the area of distributed programing. This book aims to take your knowledge to next level and help you impart that knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. Most of the data that we produce today is unstructured and raw, and you will learn to tackle this type of data with advanced topics such as regression, classification, integration, and working with graph algorithms. Finally, you will discover at how to use Scala to perform complex concept analysis, to monitor model performance, and to build a model repository. By the end of this book, you will have gained expertise in performing Scala machine learning and will be able to build complex machine learning projects using Scala. Style and approach This hands-on guide dives straight into implementing Scala for machine learning without delving much into mathematical proofs or validations. There are ample code examples and tricks that will help you sail through using the standard techniques and libraries. This book provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.
Exam board: OCR (Specification B, SHP) Level: GCSE (9-1) Subject: History First teaching: September 2016 First exams: Summer 2018 An OCR endorsed textbook. Help more students to access the content for OCR GCSE History B (SHP) with this Foundation Edition, designed to work alongside the mainstream textbook for effective co-teaching in the same class. Covering The Making of America 1789-1900, this book: br” Follows the same structure and page numbers as the mainstream textbook so that students of all abilities can explore the same enquiriesbrbr” Simplifies and reduces the text on each page, using carefully-controlled vocabulary and clear explanations of key termsbrbr” Focuses on the key points that students need to understand and includes new content summaries at the end of each enquiry to reinforce learning
This book provides a philosophical defence of open borders. Two policy dogmas are the right of sovereign states to restrict immigration and the infeasibility of opening borders. These dogmas persist in face of the human suffering caused by border controls and in spite of a global economy where the mobility of goods and capital is combined with severe restrictions on the movement of most of the world’s poor. Alex Sager argues that immigration restrictions violate human rights and sustain unjust global inequalities, and that we should reject these dogmas that deprive hundreds of millions of people of opportunities solely because of their place of birth. Opening borders would promote human freedom, foster economic prosperity, and mitigate global inequalities. Sager contends that studies of migration from economics, history, political science, and other disciplines reveal that open borders are a feasible goal for political action, and that citizens around the world have a moral obligation to work toward open borders.
Alex G. Oude Elferink's detailed analysis of the negotiations between Denmark, Germany and The Netherlands concerning the delimitation of their continental shelf in the North Sea makes use of the full range of government archives in these three States. He looks at the role of international law in policy formulation and negotiations, and explores the legal context, political considerations and, in particular, oil interests which fed into these processes. He also explains why the parties decided to submit their disputes to the International Court of Justice and looks at the preparation of their pleadings and litigation strategy before the Court. The analysis shows how Denmark and The Netherlands were able to avoid the full impact of the implications of the Court's judgment by sidestepping legal arguments and insisting instead on political considerations.
Exam board: OCR (Specification B, SHP) Level: GCSE (9-1) Subject: History First teaching: September 2016 First exams: Summer 2018 An OCR endorsed textbook Let SHP successfully steer you through the OCR B specification with an exciting, enquiry-based series, combining best practice teaching methods and worthwhile tasks to develop students' historical knowledge and skills. b” Tackle unfamiliar topics with confidence: /bThe engaging, accessible text covers the content you need for teacher-led lessons and independent studybrbrb” Ease the transition to GCSE:b” Build the knowledge and understanding that students need to succeed: /bThe scaffolded three-part task structure enables students to record, reflect on and review their learningbrbrb” Boost student performance:b” Rediscover your enthusiasm for source work: /bA range of purposeful, intriguing visual and written source material is embedded at the heart of each investigation to enhance understandingbrbrb” Develop students' sense of period:
Trading information is an essential aspect of the negotiations that underpin planning practice across the globe. In this book, Alex Lord uses information economics to outline a way of thinking about these negotiations that places the strategies that actors in the planning game use at the heart of the debate. Dialogue between economics and planning theorists has been, until now, rare. Lord argues that information economics’ tool kit, game theory – including well-known examples such as the Prisoners’ Dilemma, the Stag Hunt game and Follow the Leader – offers an analytical framework ideally suited to unpacking planning processes. This use of game theory to understand how counterparties interact draws together two distinct bodies of literature: firstly the mainstream economics treatment of games in abstract form and, secondly, accounts of actual bargaining in planning practice from a host of international empirical studies. Providing a novel alternative to existing theories of planning, The Planning Game provides an explanation of how agencies interact in shaping the trajectory of development through the application of game theory to planning practice.
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
‘For geographers across the globe this book provides the arguments for a return to the teaching of geography and why they should reject the politicisation of the subject by education policy makers and politicians. Standish’s careful critique shows the necessity of a depoliticised geography curriculum the irony of which would be that it would ensure that every child could point to Iraq, Iran and Afghanistan on a map.’ Prof. Dennis Hayes – Oxford Brookes University, UK 'A prescient and critical analysis of the changing face of geography teaching. This book deserves to be widely read and debated. Alex Standish's book puts current trends in geography teaching in historical and critical context. It comprises a forthright and timely defence of geographical education for its own sake.' Dr Jim Butcher, FRSA, Department of Sport Science, Tourism and Leisure, Canterbury Christ Church University. Since the early 1990s, educational policy makers and some subject leaders have been seeking to fundamentally change the teaching of geography in UK and US schools, from a subject which encourages students to explore spatial concepts, ideas and skills, to a more ethics based subject concerned with the promotion of environmentalism, cultural diversity and social justice. In this book the new approach is critically examined, within a historical and ideological context, addressing a number of fundamental questions: Should geography be used as a tool for the delivery of citizenship ideals? How does this affect the intellectual and moral value of geographical education for young people? If the state and teachers are taking more responsibility for the values, attitudes and emotional responses of students, how will they learn to develop these qualities for themselves? If global perspectives shift the focus of education from learning about the outside world to learning about the self, what is its vision of social progress and conception of social change? This book advocates a return to liberal models of education, arguing that the new approach to geography currently being promoted for schools fundamentally undermines the educational value of the subject, and the freedom of young people to shape the world in which they live. A vital resource for teachers and student teachers alike, Global Perspectives in the Geography Curriculum makes a significant contribution to the growing debate about the future direction of the discipline itself.
A professional TV writer's real-world guide to getting paid to write great television "No need for me to ever write a book on TV writing. Alex Epstein has covered it all . . . along with a few things I wouldn't have thought of. Save yourself five years of rookie mistakes. Crafty TV Writing and talent are pretty much all you'll need to make it." —Ken Levine, writer/producer, MASH, Cheers, Frasier, The Simpsons, Wings, Becker Everyone watches television, and everyone has an opinion on what makes good TV. But, as Alex Epstein shows in this invaluable guide, writing for television is a highly specific craft that requires knowledge, skill, and more than a few insider's tricks. Epstein, a veteran TV writer and show creator himself, provides essential knowledge about the entire process of television writing, both for beginners and for professionals who want to go to the next level. Crafty TV Writing explains how to decode the hidden structure of a TV series. It describes the best ways to generate a hook, write an episode, create characters the audience will never tire of, construct entertaining dialogue, and use humor. It shows how to navigate the tough but rewarding television industry, from writing your first "spec" script, to getting hired to work on a show, to surviving—even thriving—if you get fired. And it illuminates how television writers think about the shows they're writing, whether they're working in comedy, drama, or "reality." Fresh, funny, and informed, Crafty TV Writing is the essential guide to writing for and flourishing in the world of television.
This book is the result of a long friendship, of a broad international co operation, and of a bold dream. It is the summary of work carried out by the authors, and several other wonderful people, during more than 15 years, across 3 continents, in the course of countless meetings, workshops and discus sions. It shows that neither language nor distance can be an obstacle to close scientific cooperation, when there is unity of goals and true collaboration. When we started, we had very different approaches to handling the mys terious, almost magical world of asynchronous circuits. Some were more theo retical, some were closer to physical reality, some were driven mostly by design needs. In the end, we all shared the same belief that true Electronic Design Automation research must be solidly grounded in formal models, practically minded to avoid excessive complexity, and tested "in the field" in the form of experimental tools. The results are this book, and the CAD tool petrify. The latter can be downloaded and tried by anybody bold (or desperate) enough to tread into the clockless (but not lawless) domain of small-scale asynchronicity. The URL is http://www.lsi. upc. esr j ordic/petrify. We believe that asynchronous circuits are a wonderful object, that aban dons some of the almost militaristic law and order that governs synchronous circuits, to improve in terms of simplicity, energy efficiency and performance.
Mining Very Large Databases with Parallel Processing addresses the problem of large-scale data mining. It is an interdisciplinary text, describing advances in the integration of three computer science areas, namely `intelligent' (machine learning-based) data mining techniques, relational databases and parallel processing. The basic idea is to use concepts and techniques of the latter two areas - particularly parallel processing - to speed up and scale up data mining algorithms. The book is divided into three parts. The first part presents a comprehensive review of intelligent data mining techniques such as rule induction, instance-based learning, neural networks and genetic algorithms. Likewise, the second part presents a comprehensive review of parallel processing and parallel databases. Each of these parts includes an overview of commercially-available, state-of-the-art tools. The third part deals with the application of parallel processing to data mining. The emphasis is on finding generic, cost-effective solutions for realistic data volumes. Two parallel computational environments are discussed, the first excluding the use of commercial-strength DBMS, and the second using parallel DBMS servers. It is assumed that the reader has a knowledge roughly equivalent to a first degree (BSc) in accurate sciences, so that (s)he is reasonably familiar with basic concepts of statistics and computer science. The primary audience for Mining Very Large Databases with Parallel Processing is industry data miners and practitioners in general, who would like to apply intelligent data mining techniques to large amounts of data. The book will also be of interest to academic researchers and postgraduate students, particularly database researchers, interested in advanced, intelligent database applications, and artificial intelligence researchers interested in industrial, real-world applications of machine learning.
Leverage the power of Scala and master the art of building, improving, and validating scalable machine learning and AI applications using Scala's most advanced and finest features About This Book Build functional, type-safe routines to interact with relational and NoSQL databases with the help of the tutorials and examples provided Leverage your expertise in Scala programming to create and customize your own scalable machine learning algorithms Experiment with different techniques; evaluate their benefits and limitations using real-world financial applications Get to know the best practices to incorporate new Big Data machine learning in your data-driven enterprise and gain future scalability and maintainability Who This Book Is For This Learning Path is for engineers and scientists who are familiar with Scala and want to learn how to create, validate, and apply machine learning algorithms. It will also benefit software developers with a background in Scala programming who want to apply machine learning. What You Will Learn Create Scala web applications that couple with JavaScript libraries such as D3 to create compelling interactive visualizations Deploy scalable parallel applications using Apache Spark, loading data from HDFS or Hive Solve big data problems with Scala parallel collections, Akka actors, and Apache Spark clusters Apply key learning strategies to perform technical analysis of financial markets Understand the principles of supervised and unsupervised learning in machine learning Work with unstructured data and serialize it using Kryo, Protobuf, Avro, and AvroParquet Construct reliable and robust data pipelines and manage data in a data-driven enterprise Implement scalable model monitoring and alerts with Scala In Detail This Learning Path aims to put the entire world of machine learning with Scala in front of you. Scala for Data Science, the first module in this course, is a tutorial guide that provides tutorials on some of the most common Scala libraries for data science, allowing you to quickly get up to speed building data science and data engineering solutions. The second course, Scala for Machine Learning guides you through the process of building AI applications with diagrams, formal mathematical notation, source code snippets, and useful tips. A review of the Akka framework and Apache Spark clusters concludes the tutorial. The next module, Mastering Scala Machine Learning, is the final step in this course. It will take your knowledge to next level and help you use the knowledge to build advanced applications such as social media mining, intelligent news portals, and more. After a quick refresher on functional programming concepts using REPL, you will see some practical examples of setting up the development environment and tinkering with data. We will then explore working with Spark and MLlib using k-means and decision trees. By the end of this course, you will be a master at Scala machine learning and have enough expertise to be able to build complex machine learning projects using Scala. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Scala for Data Science, Pascal Bugnion Scala for Machine Learning, Patrick Nicolas Mastering Scala Machine Learning, Alex Kozlov Style and approach A tutorial with complete examples, this course will give you the tools to start building useful data engineering and data science solutions straightaway. This course provides practical examples from the field on how to correctly tackle data analysis problems, particularly for modern Big Data datasets.
This “lucidly written” account of the 2011 wave of revolutions “includes a wealth of astute analysis on the politics of the region, from Morocco to Oman” (Paul Hockenos, The National). Sparked by the protest of a single vegetable seller in Tunisia, the flame of revolutionary passion swept across the Arab world in what has come to be called the Arab Spring of 2011. Millions took to the streets in revolt. The governments of Tunisia, Egypt, and Libya fell, other regimes remain embattled, and no corner of the region has escaped unchanged. Here, Middle East experts Lin Noueihed and Alex Warren explain the economic and political roots of the Arab Spring and assess the road ahead. Through research, interviews, and a wealth of firsthand experience, the authors explain the unique obstacles each country faces in maintaining stability. They analyze the challenges many Arab nations face in building democratic institutions, finding consensus on political Islam, overcoming tribal divides, and satisfying an insatiable demand for jobs. In an era of change and uncertainty, this insightful guide provides the first clear glimpse of the post-revolutionary future the Arab Spring set in motion.
In this book, the fundamental principles of the electroweak, gluons, and the gravity gauge theories are obtained from the formulation of the physics probabilities by spinors.
This unique book features an audio CD containing samples of 99 classical music pieces for weddings and lyrics from 100 of the most popular wedding songs. It also includes information and advice on how to select bands, musicians and DJ's.
This book proposes a cosmopolitan ethics that calls for analyzing how economic and political structures limit opportunities for different groups, distinguished by gender, race, and class. The author explores the implications of criticisms from the social sciences of Eurocentrism and of methodological nationalism for normative theories of mobility. These criticisms lend support to a cosmopolitan social science that rejects a principled distinction between international mobility and mobility within states and cities. This work has interdisciplinary appeal, integrating the social sciences, political philosophy, and political theory.
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