Tabla de Contenidos: “…Introduction to the Concept of Drug Information -- Formulating an Effective Response: A Structured Approach -- Drug Information Resources -- Drug Literature Evaluation I: Controlled Clinical Trial Evaluation -- Drug Literature Evaluation II: Beyond the Randomized Controlled Trial -- The Application of Statistical Analysis in the Biomedical Sciences -- Pharmacoeconomics -- Evidence-Based Clinical Practice Guidelines -- Journal Clubs -- Peer Review -- Legal Aspects of Drug Information -- Ethical Aspects of Drug Information Practice -- Professional Communication of Drug Information -- Media Relations -- Pharmacy and Therapeutics Committee -- Drug Evaluation Monographs -- Drug Shortages and Counterfeit Drugs -- Quality Improvement and the Medication Use System -- Medication Safety I: Adverse Drug Reactions -- Medication Safety II: Medication Errors -- Policy, Procedure, and Guideline Development -- Project Management -- Investigational Drugs -- Regulatory Affairs and Pharmaceutical Industry -- Assessing Drug Promotions -- Drug Information in Ambulatory Care -- Drug Information and Contemporary Community Pharmacy Practice -- Pharmacy Informatics I: Systems and Technology for Patient Care -- Pharmacy Informatics II: Big Data -- Drug Information Education and Training -- Appendices -- Glossary -- Case Study Answers -- Abbreviations -- Answers for Self-Assessment Questions…”

Tabla de Contenidos: “…: knowledge management and big data -- 15. What have you done for the war fighter today? …”

Tabla de Contenidos: “…Chapter 1 The Communication Technology Ecosystem -- chapter 2 A History of Communication Technology -- chapter 3 Understanding Communication Technologies -- chapter 4 The Structure of the Communication Industries -- chapter 5 Communication Policy and Technology -- part II Electronic Mass Media -- chapter 6 Digital Television and Video -- chapter 7 Multichannel Television Services -- chapter 8 Radio and Digital Audio -- chapter 9 Digital Signage -- chapter 10 Cinema Technologies -- part III Computers and Consumer Electronics -- chapter 11 Computers -- chapter 12 Internet of Things (IoT) -- chapter 13 Automotive Telematics -- chapter 14 Video Games -- chapter 15 Virtual and Augmented Reality -- chapter 16 Home Video -- chapter 17 Digital Imaging and Photography -- chapter 18 eHealth -- chapter 19 Esports -- chapter 20 Ebooks -- part IV Networking Technologies -- chapter 21 Broadband and Home Networks -- chapter 22 Telephony -- chapter 23 The Internet -- chapter 24 Social Media -- chapter 25 Big Data -- part V Conclusions -- chapter 26 Other New Technologies -- chapter 27 Your Future and Communication Technologies…”

Tabla de Contenidos: “…/ Ageing and fertility : legal and ethical perspectives / The emergence of family care agreements in an ageing world / The problem of mental capacity in self-harming egosyntonic disorder / Medical privacy and big data : a further reason in favour of public universal health-care coverage / The age of personalized medicine, from patients to consumers : the digital environment, clickwrap contracts, and implications for autonomy…”

Tabla de Contenidos: “…Online Communities and Big Data -- 21. Groups in Health Contexts: Online Health Communities -- 22. …”

Tabla de Contenidos: “…3.1 Introduction -- 3.2 Definitions -- 3.2.1 Sources -- 3.2.2 Attributes -- 3.2.2.1 Volume -- 3.2.2.2 Variety -- 3.2.2.3 Velocity -- 3.2.2.4 Veracity -- 3.2.2.5 Variability -- 3.2.2.6 Value -- 3.2.2.7 Visualization -- 3.2.3 The Making of Big Data -- 3.3 The Analytic Challenge: From Database Marketing to Big Data and Data Science -- 3.4 Assessing Data Quality -- 3.4.1 Validity -- 3.4.2 Missingness -- 3.4.3 Representation -- 3.5 Applications in Market, Opinion, and Social Research -- 3.5.1 Adding Value through Linkage -- 3.5.2 Combining Big Data and Surveys in Market Research -- 3.6 The Ethics of Research Using Big Data -- 3.7 The Future of Surveys in a Data-Rich Environment -- References -- Chapter 4 The Role of Statistical Disclosure Limitation in Total Survey Error -- 4.1 Introduction -- 4.2 Primer on SDL -- 4.3 TSE-Aware SDL -- 4.3.1 Additive Noise -- 4.3.2 Data Swapping -- 4.4 Edit-Respecting SDL -- 4.4.1 Simulation Experiment -- 4.4.2 A Deeper Issue -- 4.5 SDL-Aware TSE -- 4.6 Full Unification of Edit, Imputation, and SDL -- 4.7 ``Big Data ́ ́ Issues -- 4.8 Conclusion -- Acknowledgments -- References -- Section 2 Implications for Survey Design -- Chapter 5 The Undercoverage-Nonresponse Tradeoff -- 5.1 Introduction -- 5.2 Examples of the Tradeoff -- 5.3 Simple Demonstration of the Tradeoff -- 5.4 Coverage and Response Propensities and Bias -- 5.5 Simulation Study of Rates and Bias -- 5.5.1 Simulation Setup -- 5.5.2 Results for Coverage and Response Rates -- 5.5.3 Results for Undercoverage and Nonresponse Bias -- 5.5.3.1 Scenario 1 -- 5.5.3.2 Scenario 2 -- 5.5.3.3 Scenario 3 -- 5.5.3.4 Scenario 4 -- 5.5.3.5 Scenario 7 -- 5.5.4 Summary of Simulation Results -- 5.6 Costs -- 5.7 Lessons for Survey Practice -- References -- Chapter 6 Mixing Modes: Tradeoffs Among Coverage, Nonresponse, and Measurement Error Roger Tourangeau -- 6.1 Introduction…”

“…La metodología a seguir incluye una encuesta sobre el conocimiento público y la percepción de la Ciencia de los Datos, cuyo objetivo es medir el nivel de conocimiento y comprensión del público, así como las actitudes hacia el Big Data y la Inteligencia Artificial, con especial atención a las posibles brechas debido al género, la edad y el nivel socioeconómico…”
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“…Entre las tecnologías se detallan la robótica industrial, el internet de las cosas, la inteligencia artificial, el Big Data, el Blockchain o la ciberseguridad.En la segunda parte del libro, se desarrollan técnicas de gestión de proyectos que provienen de la ingeniería mecánica, la organización industrial, las telecomunicaciones, la informática o la ingeniería civil. …”

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“…Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. …”

“…Actualmente la abundancia de tecnologías, técnicas y medios al alcance de todos (redes sociales, apps, big data, inteligencia artificial, SEO, SEM...) resulta tan abrumadora que no es fácil decidir ni por dónde empezar.El Modelo Mosaico esta pensado para resolver ese problema porque recoge, simplifica y ordena los pasos a seguir para emprender sin las ataduras en el mundo actual. …”

“…Les progrès du séquençage du génome humain au début du xxie siècle et, d’une façon plus générale, l’accès aux données massives (big data), ont révolutionné la recherche en épidémiologie tout en lui imposant de nouveaux défis scientifiques et éthiques…”

“…El objetivo fundamental de esta obra es analizar los cambios que se están produciendo en la transformación digital del Sector Financiero, las implicaciones y retos para el sector bancario derivados de la irrupción de las Fintech, así como los fundamentos de la banca digital y las aplicaciones del Big Data que permiten a las entidades financieras mejorar aspectos críticos de su modelo de negocio. …”

“…Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. …”

“…El autor recorre los doce dominios de la digitalización de la empresa, desde las redes sociales hasta los cambios en las organizaciones, pasando por el marketing digital o el Big Data. El lector encontrará casos reales y numerosas ideas sobre iniciativas o proyectos de transformación que pueden mejorar la posición competitiva de su empresa gracias a la adopción de lo digital…”

“…If you want to gain meaningful insights from big data and develop intelligent applications using Java, this course is also a must-have. …”

“…A unique keynote speech by Yangqing Jia, the leader of Alibaba’s AI and Big Data organization. A revealing talk by Ion Stoica (UC Berkeley) describing some the AI projects underway at UC Berekely's renowned RISELab. …”

“…This book also is a guide about how to implement and manage a high-performance enterprise infrastructure and private cloud platform for big data, artificial intelligence, and transactional and analytics workloads on IBM Power Systems. …”

“…"Big data processing and analytics at speed and scale using command line tools. …”