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Luz de agosto (Alfaguara Literatura Ser.)
by William FaulknerLuz de agosto es una de las obras más representativas del premio Nobel de Literatura William Faulkner. En Luz de agosto aparecen retratados algunos de los personajes más memorables de Faulkner: la cándida e intrépida Lena Grove en busca del padre de su hijo; el reverendo Gal Hightower, atormentado por constante visiones de soldados de caballería confederados, y Joe Christmas, un misterioso vagabundo consumido por los orígenes raciales de sus antepasados. Faulkner, además de haber sido el innovador de una forma de narrar que ha influido poderosamente en las generaciones que le han continuado, fue el cronista de los más notables hechos, costumbres y personajes de su tierra. Luz de agosto es una de las obras más representativas de un hombre que, trabajando sobre la historia y haciendo campear la imaginación, logró convertirse en uno de los escritores más importantes de su siglo.
Lying and Lie Detection: A CIA Insider's Guide
by John KiriakouA foolproof guide both to lying and to detecting deception,Lying and Lie Detection: A CIA Insider's Guide will teach you how the pros can tell if and when somebody is lying. People lie all the time. Studies show that the average American lies between six and twenty times a day. Most lies are of the &“little white&” variety or are meant to spare a person&’s feelings. But what about the big lies? What about the consequential ones? You have a right to know when somebody is lying to you. Now, imagine if you had the tools to spot a lie from the truth—a guide to perfect your sixth sense. Whether it's finding out if you truly got the job, unmasking an infidelity, or a simple recommendation, you will no longer have to spend hours, days, or even weeks pondering about it. Through the easy-to-follow instructions and professional anecdotes in Lying and Lie Detection: A CIA Insider's Guide, you&’ll learn to lie and spot lies from John Kiriakou, a former CIA counterterrorism officer and senior investigator for the Senate Foreign Relations Committee responsible for the capture of Abu Zubaydah.Remember, CIA operations officers are trained to lie. They lie all the time. When they are working undercover, they are actually living a lie. With the CIA as a teacher, you&’ll learn how to tell.
Lying in State: Why Presidents Lie -- And Why Trump Is Worse
by Eric AltermanThis definitive history of presidential lying reveals how our standards for truthfulness have eroded -- and why Trump's lies are especially dangerous.If there's one thing we know about Donald Trump, it's that he lies. But he's by no means the first president to do so. In Lying in State, Eric Alterman asks how we ended up with such a pathologically dishonest commander in chief, showing that, from early on, the United States has persistently expanded its power and hegemony on the basis of presidential lies. He also reveals the cumulative effect of this deception-each lie a president tells makes it more acceptable for subsequent presidents to lie-and the media's complicity in spreading misinformation. Donald Trump, then, represents not an aberration but the culmination of an age-old trend. Full of vivid historical examples and trenchant analysis, Lying in State is essential reading for anyone seeking to understand how we arrived in this age of alternative facts.
Lying Numbers: How Maths and Statistics Are Twisted and Abused
by Hugh BarkerA readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and briefings to business presentations and shopping offers.Praise for Hugh Barker's Million Dollar Maths:'Great fun. A clear, original and highly readable account of the curious relationship between mathematics and money.' Professor Ian Stewart - author of Significant Figures'A lively crash course in the mathematics of gambling, investing, and managing. Hugh Barker makes deep ideas fun and profitable.' William Poundstone - author of How to Predict the UnpredictablePoliticians, economists, scientists, journalists . . . all of them have been known to bend the truth and to twist the facts from time to time. But surely the numbers and statistics they rely on are cold, hard objective facts that tell the real story? Of course the truth is much murkier than that. Figures can be misinterpreted, misunderstood, misconstrued and misused in hundreds of different ways. This book takes a look at the many ways that statistical information can be badly reported or deliberately misused in all walks of life, from political arguments, to business presentations, to more local concerns such as shopping offers and utility bills. A polemical guide to how numbers are used to mislead, which is intended to help the reader through the minefield of dubious stats and lying numbers.
Lying Numbers: How Maths and Statistics Are Twisted and Abused
by Pocket Book of R Hugh BarkerA readily understandable exploration of how figures are badly reported or deliberately misrepresented everywhere from political arguments and briefings to business presentations and shopping offers.Praise for Hugh Barker's Million Dollar Maths:'Great fun. A clear, original and highly readable account of the curious relationship between mathematics and money.' Professor Ian Stewart - author of Significant Figures'A lively crash course in the mathematics of gambling, investing, and managing. Hugh Barker makes deep ideas fun and profitable.' William Poundstone - author of How to Predict the Unpredictable Politicians, economists, scientists, journalists . . . all of them have been known to bend the truth and to twist the facts from time to time. But surely the numbers and statistics they rely on are cold, hard objective facts that tell the real story? Of course the truth is much murkier than that. Figures can be misinterpreted, misunderstood, misconstrued and misused in hundreds of different ways. This book takes a look at the many ways that statistical information can be badly reported or deliberately misused in all walks of life, from political arguments, to business presentations, to more local concerns such as shopping offers and utility bills. A polemical guide to how numbers are used to mislead, which is intended to help the reader through the minefield of dubious stats and lying numbers.
Lynzsea Sky: An American True Story
by Michael RozekLynzsea Sky, a twenty-something college student, tells the author her heartbreaking, disturbing, and culture-challenging life story. She speaks at first hesitantly, then with increasing clarity about sex, drugs, family life, education, tattoos, homelessness, her dreams of becoming a filmmaker, her brother's time in prison, and her mother's struggle with mental illness.<P><P>The book is just the conversation; the absence of anything else makes this a groundbreaking new form of nonfiction. The lean prose is void of stylistic hijinks, drawing the reader in without drawing attention to the writer.The author's first book is part of a planned series called American True Stories, all of which will be similarly dialogue based. Michael Rozek's work illuminates real American lives and gives a voice to people who often are overlooked by the mainstream media.Michael Rozek has written more than two thousand articles for various national magazines including Rolling Stone, Esquire, Sports Illustrated, and The Village Voice in a career spanning nearly forty years. He walked away from a lucrative free-lance career to publish the popular Rozek's Newsletter in the 1990s in response to the "fast food" journalism he saw increasingly creeping into American magazines. For more than a decade, Rozek and his wife Charlotte have struggled with homelessness and poverty, yet Rozek continues to talk to and write about everyday Americans with empathy and insight. This is his first book.
M.K. Gandhi, Media, Politics and Society: New Perspectives (Palgrave Studies in the History of the Media)
by Chandrika KaulThis Palgrave Pivot showcases new research on M.K. Gandhi or Mahatma Gandhi, and the press, telegraphs, broadcasting and popular culture. Despite Gandhi being the subject of numerous books over the past century, there are few that put media centre stage. This edited collection explores both Gandhi’s own approach to the press, but also how different advocacy groups and the media, within India and overseas, engaged with Gandhi, his ideology and methodology, to further their own causes. The timeframe of the book extends from the late nineteenth century up to the present, and the case studies draw inspiration from a number of disciplinary approaches.
M: Marketing
by Dhruv Grewal Michael LevyM: Marketing is the most concise, impactful approach to Principles of Marketing on the market, with tightly integrated topics that explore both marketing fundamentals and new influencers, all in an engaging format. Authors Grewal and Levy emphasize that even the best products and services will go unsold if marketers cannot communicate their value. A robust suite of instructor resources and a regularly updated author blog provide a steady stream of current, fresh ideas for the classroom. Grewal and Levy's M: Marketing, Sixth Edition, is available through McGraw-Hill Connect®, a highly reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student results.
M2M Communications
by Olivier Hersent Omar Elloumi David BoswarthickA comprehensive introduction to M2M Standards and systems architecture, from concept to implementationFocusing on the latest technological developments, M2M Communications: A Systems Approach is an advanced introduction to this important and rapidly evolving topic. It provides a systems perspective on machine-to-machine services and the major telecommunications relevant technologies. It provides a focus on the latest standards currently in progress by ETSI and 3GPP, the leading standards entities in telecommunication networks and solutions. The structure of the book is inspired by ongoing standards developments and uses a systems-based approach for describing the problems which may be encountered when considering M2M, as well as offering proposed solutions from the latest developments in industry and standardization.The authors provide comprehensive technical information on M2M architecture, protocols and applications, especially examining M2M service architecture, access and core network optimizations, and M2M area networks technologies. It also considers dominant M2M application domains such as Smart Metering, Smart Grid, and eHealth. Aimed as an advanced introduction to this complex technical field, the book will provide an essential end-to-end overview of M2M for professionals working in the industry and advanced students.Key features:First technical book emerging from a standards perspective to respond to this highly specific technology/business segmentCovers the main challenges facing the M2M industry today, and proposes early roll-out scenarios and potential optimization solutionsExamines the system level architecture and clearly defines the methodology and interfaces to be consideredIncludes important information presented in a logical manner essential for any engineer or business manager involved in the field of M2M and Internet of ThingsProvides a cross-over between vertical and horizontal M2M concepts and a possible evolution path between the twoWritten by experts involved at the cutting edge of M2M developments
Macbeth: The 30-Minute Shakespeare
by Nick NewlinPlanning a school or amateur Shakespeare production? The best way to experience the plays is to perform them, but getting started can be a challenge: The complete plays are too long and complex, while scene selections or simplified language are too limited."The 30-Minute Shakespeare" is a new series of abridgements that tell the "story" of each play from start to finish while keeping the beauty of Shakespeare's language intact. Specific stage directions and character suggestions give even inexperienced actors the tools to perform Shakespeare with confidence, understanding, and fun!This cutting of MACBETH is edited to seven key scenes, opening with the Weird Sisters predicting Macbeth's fate. Also included are Macbeth and his villainous wife plotting to murder King Duncan, the appearance of Banquo's ghost at the banquet, the Witches' unforgettable "double double toil and trouble" scene, and Lady Macbeth's riveting "out, damned spot" sleepwalk. In the finale, the entire cast recites Macbeth's poignant "tomorrow, tomorrow, and tomorrow" speech in unison.The edition also includes an essay by editor Nick Newlin on how to produce a Shakespeare play with novice actors, and notes about the original production of this abridgement at the Folger Shakespeare Library's annual Student Shakespeare Festival.
Machine Intelligence and Soft Computing: Proceedings of ICMISC 2020 (Advances in Intelligent Systems and Computing #1280)
by Debnath Bhattacharyya N. Thirupathi RaoThis book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.
Machine Learning, Advances in Computing, Renewable Energy and Communication: Proceedings of MARC 2020 (Lecture Notes in Electrical Engineering #768)
by Pramod Kumar Atif Iqbal Hasmat Malik Anuradha TomarThis book gathers selected papers presented at International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2020), held in Krishna Engineering College, Ghaziabad, India, during December 17–18, 2020. This book discusses key concepts, challenges, and potential solutions in connection with established and emerging topics in advanced computing, renewable energy, and network communications.
Machine Learning and Artificial Intelligence
by Ameet V JoshiThis book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.Presents a full reference to artificial intelligence and machine learning techniques - in theory and application;Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible;Connects all ML and AI techniques to applications and introduces implementations.
Machine Learning and Artificial Intelligence
by Ameet V JoshiThe new edition of this popular professional book on artificial intelligence (ML) and machine learning (ML) has been revised for classroom or training use. The new edition provides comprehensive coverage of combined AI and ML theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The fourth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. Each chapter is accompanied with a set of exercises that will help the reader / student to apply the learnings from the chapter to a real-life problem. Completion of these exercises will help the reader / student to solidify the concepts learned. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible. The book covers a large gamut of topics in the area of AI and ML and a professor can tailor a course on AI / ML based on the book by selecting and re-organizing the sequence of chapters to suit the needs.
Machine Learning and Data Analytics for Solving Business Problems: Methods, Applications, and Case Studies (Unsupervised and Semi-Supervised Learning)
by Bader Alyoubi Chiheb-Eddine Ben Ncir Ibraheem Alharbi Anis JarbouiThis book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.
Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of MDCWC 2020 (Lecture Notes in Electrical Engineering #749)
by E. S. GopiThis book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
Machine Learning Empowered Intelligent Data Center Networking: Evolution, Challenges and Opportunities (SpringerBriefs in Computer Science)
by Ting Wang Bo Li Mingsong Chen Shui YuAn Introduction to the Machine Learning Empowered Intelligent Data Center Networking Fundamentals of Machine Learning in Data Center Networks. This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks. Comprehensive Survey of AI-assisted Intelligent Data Center Networks. This book comprehensively investigates the peer-reviewed literature published in recent years. The wide range of machine learning techniques is fully reflected to allow fair comparisons. In addition, the book provides in-depth analysis and enlightening discussions on the effectiveness of AI in DCNs from various perspectives, covering flow prediction, flow classification, load balancing, resource management, energy management, routing optimization, congestion control, fault management, and network security.Provides a Broad Overview with Key Insights. This book introduces several novel intelligent networking concepts pioneered by real-world industries, such as Knowledge Defined Networks, Self-Driving Networks, Intent-driven Networks and Intent-based Networks. Moreover, it shares unique insights into the technological evolution of the fusion of artificial intelligence and data center networks, together with selected challenges and future research opportunities.
Machine Learning for Critical Internet of Medical Things: Applications and Use Cases
by Fadi Al-Turjman Anand NayyarThis book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.
Machine Learning for Mobile Communications (Industry 5.0)
by Chiranji Lal Chowdhary Subrata Chowdhury Sinh Cong Lam Tushar Hrishikesh JawareMachine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.This book: Discusses the 5G new radio system design and architecture as specified in 3GPP documents Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems Identifies both theoretical and practical problems that can occur in mobile communication systems Covers machine learning techniques such as autoencoder and Q-learning in a comprehensive manner Explores how to apply machine learning techniques to mobile systems to solve modern problems This book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning
by Taeho JoThis book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning;Outlines the computation paradigm for solving classification, regression, and clustering;Features essential techniques for building the a new generation of machine learning.
Machine Learning in Information and Communication Technology: Proceedings of ICICT 2021, SMIT (Lecture Notes in Networks and Systems #498)
by Hiren Kumar Deva Sarma Vincenzo Piuri Arun Kumar PujariThis book presents collection of research papers presented at International Conference on Information and Communication Technology (ICICT 2021) organized by Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim, India, during 23–24 December 2021. The book includes papers in the research area of communication networks, data science, healthcare informatics, bio-medical image processing, security of information including cryptography, machine learning applications, and AI applications.
Machine Learning in Translation
by Peng Wang David B. SawyerMachine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.
Machine Learning Modeling for IoUT Networks: Internet of Underwater Things (SpringerBriefs in Computer Science)
by Ahmad A. Aziz El-Banna Kaishun WuThis book discusses how machine learning and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.
Machine Learning: Theoretical Foundations and Practical Applications (Studies in Big Data #87)
by Manjusha Pandey Siddharth Swarup RautarayThis edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.
Machine Translation: 14th China Workshop, Cwmt 2018, Wuyishan, China, October 25-26, 2018, Proceedings (Communications in Computer and Information Science #954)
by Jiajun Chen Jiajun ZhangThis book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018. The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.