Rose analyses the Conservative response to the foreign policy strategies in the post-war coalition, highlighting the complex nature and development of Conservative foreign policy thinking.
MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Explores the role played by the Female Section of the Spanish Fascist Party (Seccion Femenina de la Falange - SF) in promoting women's political and professional rights within the authoritarian Franco regime in Spain. This book demonstrates how the SF's national leadership promoted an autonomous social and political agenda.
The present book analyzes the relationship between internal migration, urbanization and democratization in Spain during the period of General Francisco Franco's dictatorship (1939-1975) and Spain's transition to democracy (1975-1982). Specifically, the book explores the production and management of urban space as one form of political and social repression under the dictatorship, and the threat posed to the official urban planning regimes by the phenomenon of mass squatting (chabolismo). The growing body of recent literature that analyzes the role of neighborhood associations within Spain's transition to democracy, points to the importance and radicalism of associations that formed within squatters' settlements such as Orcasitas in Madrid, Otxarkoaga in Bilbao or Somorrostro and el Camp de la Bota in Barcelona. However, relatively little is known about the formation of community life in these neighborhoods during the 1950s, and about the ways in which the struggle to control and fashion urban space prior to Spain's transition to democracy generated specific notions of democratic citizenship amongst populations lacking in prior coherent ideological commitment.
There Will Come A Train by Feng GooiDuring World War Two, the Japanese forcibly sent prisoners deep into the wild mountains to build the Siam-Burma Railway now also known as the Death Railway. A party of Malaysian prisoners find that freedom may be possible when one of them starts receiving strange visions of the future.Virgil in Kingman by Inbal Gilboa“ Virgil in Kingman” is a whistle-stop tour of the state of Arizona and a katabasis to the Underworld, beginning in Phoenix and ending past the Salt River. At the helm of this roadtrip, Sleeper Car, the driver, and her navigator, a talking tarantula by the name of Jacob Schwartz, travel from one end of the state to the other in search of the entrance to Hell through a copper mineshaft, seeking to fetch the soul of Sleeper Car' s companion. Meditative and surreal, the only guarantee for this journey is that they will not, by any means, stop at the Grand Canyon.Welcome to Hicksville by Porsha StennisThey often say down in Hicksville, you' ll never make it out alive. Either a gun, jail or poverty will kill you, and seventeen year old Tobias is on the verge of finding out his fate. Just days before his senior graduation and summer approaches, he begins to take a good look around at how he exists in this place he once called home and questions everything he' s ever known; his mother, his race, and the one unresolved mystery since birth &– his father. This is only the beginning of a summer filled with life altering events. Welcome to adulthood, Tobias. Welcome to Hicksville. Death After Life by Alex HulslanderAfter death, there is judgement to determine if one is worthy of Heaven or damned to Hell. But Hell is not what everything thinks it is, as for many it is simply a continuation of life without worry. However, for one woman it is a place of confusion. Without her memories, she must navigate this new life with the help of Lucifer to determine who she was before death and who she is meant to be.
Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn how to implement a variety of popular data mining algorithms in R (a free and open-source software) to tackle business problems and opportunities. This is the fifth version of this successful text, and the first using R. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: Two new co-authors, Inbal Yahav and Casey Lichtendahl, who bring both expertise teaching business analytics courses using R, and data mining consulting experience in business and government Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions www.dataminingbook.com Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.
This book explores the role of popular forms of social mobilization during Spain's process of transition to democracy. It focuses on the nature of citizenship that was forged during the period of conflict and mobilisation that characterised Spain from the late 1950s until the late 1980s. It offers a two-pronged exploration of social movements at the time. On the one hand, it provides a detailed analysis of four very different cases of social mobilisation: among Catholics, residents, farmers and teachers. It discerns processes of organisation, repertoires of action, collective meaning, and interactions with communities and local political actors. On the other hand, it reflects on how the fight over specific issues and the use of similar tactics generated shared interpretations of what it meant to be a citizen in a democracy.
Rose analyses the Conservative response to the foreign policy strategies in the post-war coalition, highlighting the complex nature and development of Conservative foreign policy thinking.
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