“…Since its emergence, big data has brought us new forms of energy, technology and means of organization which will generate greater values by crossover, integration, openness and sharing of data. …”

“…Unfortunately, in the age of big data, the numbers, Hoffman argues, are too often getting in the way. …”

“…Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Fourth Edition is the practical, up-to-date introduction to statistics an analytics--for everyone! …”

“…Exciting new features in C# 6 and 7 make it easier than ever to take on big data applications, cloud-centric web development, and cross-platform software using .NET Core. …”

“…While many analyses have examined disinformation in recent election campaigns, misuse of ‘big data’ such as the Cambridge Analytica scandal, and manipulation by bots and algorithms, most have blamed a few bad actors. …”

“…La realidad actual del capitalismo mundial muestra de una forma cada vez más evidente —y a una escala ya plenamente global— la contradicción esencial de un sistema económico que al tiempo que impulsa el continuo desarrollo científico-técnico (con la robotización de la producción, la inteligencia artificial o la big data) despliega dinámicas sociales regresivas al generar desempleo y precariedad laboral, polarización social y crisis cada vez más graves o guerras imperiales y destrucción medioambiental. …”

Tabla de Contenidos: “…Partitions -- Input source -- Output source -- Embarrassingly parallel jobs and Not embarrassingly parallel jobs -- Sample use case -- Configuring SU using Azure portal -- Out of order and late-arriving events -- Summary -- Chapter 7: Integration of Microsoft Business Intelligence and Big Data -- What is Big Data Lambda Architecture? -- Concepts of batch processing and stream processing in data analytics -- Specifications for slow/cold path of data - batch data processing -- Moving to the streaming-based data solution pattern -- Evolution of Kappa Architecture and benefits -- Comparison between Azure Stream Analytics and Azure HDInsight Storm -- Designing data processing pipeline of an interactive visual dashboard through Stream Analytics and Power BI -- Integrating Power BI as an output job connector for Stream Analytics -- Summary -- Chapter 8: Designing and Managing Stream Analytics Jobs -- Reference data streams with Azure Stream Analytics -- Configuration of Reference data for Azure Stream Analytics jobs -- Integrating a reference data stream as job topology input for an Azure Stream Analytics job -- Stream Analytics query configuration for Reference Data join -- Refresh schedule of a reference data stream -- Configuration of output data sinks for Azure Stream Analytics with Azure Data Lake Store -- Configuring Azure Data Lake Store as an output data sink of Stream Analytics -- Configuring Azure Data Lake Store as an output sink of Stream Analytics jobs -- Configuring Azure Cosmos DB as an output data sink for Azure Stream Analytics -- Features of Azure Cosmos DB for configuring output sinks of Azure Stream Analytics -- Configuring Azure Cosmos DB integrated with Azure Stream Analytics as an output sink -- Stream Analytics job output to Azure Function Apps as Serverless Architecture -- Provisioning steps to an Azure Function…”

Tabla de Contenidos: “…Handing-off UI design using Zeplin -- Handing over design using Sympli -- Frontend development/UI development -- CSS layouts -- Float-based layout -- Flexbox-based layout -- Grid-based layout -- CSS preprocessors -- Sass -- Less -- Stylus -- CSS postprocessors -- CSS methodologies -- Object-Oriented CSS (OOCSS) -- Scalable and Modular Architecture for CSS (SMACSS) -- Block, Element, Modifier (BEM) -- Atomic CSS (ACSS) -- CSS frameworks -- Summary -- Chapter 11: Post-launching UX Activities -- Post-launch UX activities -- Collecting the correct user feedback -- Customer feedback surveys -- Emails and contact forms -- Feedback through social media -- User accessibility testing (UI testing) -- A/B testing -- Tracking and recording user UI sessions -- Creating and analyzing conversion funnels -- Summary -- Chapter 12: Designing for Big Data -- UX Design with big data -- The role of big data in UX design -- Data visualization -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Inteligencia artificial, algoritmos y Big Data en los préstamos P2P / Federico Ferretti -- 13. …”
>Texto completo en Biblioteca Virtual Tirant

Tabla de Contenidos: “…; A Simple Scheme: The Purchase Fraud of an Employee as a Vendor; Stages of Using IDEA; Notes; Chapter 7: Centrifuge Analytics: Is Big Data Enough?; Sophisticated Link Analysis; The Challenge with Anti-Counterfeiting…”

Tabla de Contenidos: “…Inteligencia artificial, algoritmos y Big Data en los préstamos P2P / Federico Ferretti -- 13. …”

Tabla de Contenidos: “…/ Ana González-Neira, Natalia Quintas-Froufe y María-Jesús Díaz-González -- Big data y comunicación : una relación imprescindible / José Juan Videla-Rodríguez -- Formatos publicitarios para dispositivos móviles / Sandra Martínez Costa -- Usos de la realidad virtual en diferentes sectores empresariales / Manuel García Torre -- Gamificación en el entorno comercial / Antonio Seoane Nolasco…”
Accés restringit als usuaris de la UAB

Tabla de Contenidos: “…14 Use Analytics and Big Data: Using Analytics to Drive BusinessResultsNotes; Index; About the Authors; Free Sample Excerpt from Talent Leadership by John Mattone…”

Tabla de Contenidos: “…Front Cover; Contents; Preface; Editor Biographies; Contributors; Chapter 1: An Introduction to Cluster Analysis; Chapter 2: Feature Selection for Clustering: A Review; Chapter 3: Probabilistic Models for Clustering; Chapter 4: A Survey of Partitional and Hierarchical Clustering Algorithms; Chapter 5: Density-Based Clustering; Chapter 6: Grid-Based Clustering; Chapter 7: Nonnegative Matrix Factorizations for Clustering: A Survey; Chapter 8: Spectral Clustering; Chapter 9: Clustering High-Dimensional Data; Chapter 10: A Survey of Stream Clustering Algorithms; Chapter 11: Big Data Clustering…”

Tabla de Contenidos: “…Front Cover; Dedication; Contents; Editor Biography; Contributors; Preface; Chapter 1: An Introduction to Data Classification; Chapter 2: Feature Selection for Classification: A Review; Chapter 3: Probabilistic Models for Classification; Chapter 4: Decision Trees: Theory and Algorithms; Chapter 5: Rule-Based Classification; Chapter 6: Instance-Based Learning: A Survey; Chapter 7: Support Vector Machines; Chapter 8: Neural Networks: A Review; Chapter 9: A Survey of Stream Classification Algorithms; Chapter 10: Big Data Classification; Chapter 11: Text Classification…”

Tabla de Contenidos: “…INFORMACIÓN. LA ERA DE LOS BIG DATA -- 1.1. ABUNDANCIA Y CAMBIO ACELERADO DE LA INFORMACIÓN -- 1.2. …”

Tabla de Contenidos: “…Kunst mit Deep Learning -- Bilderkennung und Klassifizierung -- Deep Dreaming -- Deep Dreaming in der Cloud -- Prognosen von Zeitreihen -- Kapitel 7: Deep Learning und Big Data -- TensorFlow verteilen -- Caffe2 verteilen -- Spark und Deep Learning -- TensorFrames -- Intels BigDL -- SparkNet -- CaffeOnSpark -- TensorFlowOnSpark -- Deep Learning und die Amazon-Cloud -- Googles Cloud Platform -- Kapitel 8: Deep Learning produktiv -- Modellgüte bewerten -- Trainingsdaten und Testdaten -- Konfusionsmatrix -- Mittlere quadratische Abweichung -- Mittlere absolute Abweichung -- R2 -- Bias -- Underfitting und Overfitting -- Modelle einfrieren -- Modelle nutzen -- Entwicklungspipeline -- Laufzeitumgebungen -- TensorFlow Serving -- AWS Lambda -- Anhang: Arbeiten mit dem Docker-Container -- Index -- Über den Autor -- Kolophon…”

Tabla de Contenidos: “…Data Analysis Using SQL and Excel®; About the Author; Credits; Acknowledgments; Contents at a Glance; Contents; Foreword; Introduction; Chapter 1 A Data Miner Looks at SQL; Databases, SQL, and Big Data; What Is Big Data?; Relational Databases; Hadoop and Hive; NoSQL and Other Types of Databases; SQL; Picturing the Structure of the Data; What Is a Data Model?…”

Tabla de Contenidos: “…Conté: Los nuevos enfoques del transporte espacial: las soluciones proporcionadas por los operadores privados / por Luca Ancis -- Los seguros de transporte terrestre de viajeros / por Silvia Boboc -- Big data y aviación desde la perspectiva de la UE / por Valentina Corona -- La regulación comunitaria del seguro de responsabilidad civil por la circulación de vehículos a motor y su aplicación a los vehículos autónomos y automatizados / por Roberto Couto Calviño -- Reflexiones generales sobre el alcance de la intervención del legislador en el fenómeno evolutivo del transporte / por Massimo Deiana -- La oponibilidad al tercero perjudicado de las cláusulas arbitrales contenidas en los seguros de P&I en aplicación del reglamento Bruselas i bis / por Albano Gilabert Gascón -- Economía colaborativa y ánimo de lucro: deshojando la margarita / por María José Morillas Jarillo -- Advanced and autonomous driving systems in motor vehicles: paving the responsibility road from drivers to algorithm systems / por Miso Mudric -- The maritime unmanned navigation and its liability regime: the need for a new regulatory approach / por Massimiliano Musi -- La COVID-19: una pausa en la liberalización del sector aéreo / por M. ̂…”

Tabla de Contenidos: “…HHVSF: A Framework to Accelerate Drug-based High-throughput Virtual Screening on High-Performance Computers -- HBasechainDB -- A Scalable Blockchain Framework on Hadoop Ecosystem -- DETOUR: A Large-Scale Non-Blocking Optical Data Center Fabric -- Querying Large Scientific Data Sets with Adaptable IO System ADIOS -- On the Performance of Spark on HPC Systems: Towards a Complete Picture -- Experiences of Converging Big Data Analytics Frameworks with High Performance Computing Systems -- MACC : An OpenACC Transpiler for Automatic Multi-GPU Use -- Acceleration of Wind Simulation using Locally Mesh-Refined Lattice Boltzmann Method on GPU-Rich supercomputers -- Architecture of an FPGA-Based Heterogeneous System for Code-Search Problems -- TINS: A Task-Based Dynamic Helper Core Strategy for In Situ Analytics -- Machine Learning Predictions for Underestimation of Job Runtime on HPC System -- A Power Management Framework with Simple DSL for Automatic Power-Performance Optimization on Power-Constrained HPC Systems -- Scalable Data Management of the Uintah Simulation Framework for Next-Generation Engineering Problems with Radiation -- High performance LOBPCG method for solving multiple eigenvalues of Hubbard model: Efficiency of communication avoiding Neumann expansion preconditioner -- Application of a preconditioned Chebyshev basis communication-avoiding conjugate gradient method to a multiphase thermal-hydraulic CFD code -- Optimization of Hierarchical matrix computation on GPU…”