“…Data collection, processing, analysis, and more About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples A highly practical course covering a broad set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for Java developers who are comfortable developing applications in Java, and now want to enter the world of data science or wish to build intelligent applications. …”

“…Features now covered include the new graph and digraph classes for charts and networks; interactive documents that combine text, code, and output; a new development environment for building apps; locally defined functions in scripts; automatic expansion of dimensions; tall arrays for big data; the new string type; new functions to encode/decode JSON; handling non-English languages; the new class architecture; the Mocking framework; an engine API for Java; the cloud-based MATLAB desktop; the memoize function; and heatmap charts. …”

“…You’ll find extensive new coverage of Azure SQL, big data clusters, PolyBase, data protection, automation, and more. …”

“…Learn the meaning of natural language understanding (NLU) and its use in text mining Discover how to build a natural language processing (NLP) pipeline within a big data framework Recognize the differences between NLP pipelines and other approaches to semantic text mining Learn about standard UIMA annotators, custom annotators, and machine learned annotators Discover how different types of annotators are composed into a text processing pipeline Use machine learning to generate annotators and apply them within a data pipeline See pipeline architectures that incorporate Kafka, Spark, SparkSQL, Cassandra, and ElasticSearch David Talby (PhD , Computer Science, Hebrew University) and Claudio Branzan (Masters, Industrial Intelligent Systems, Polytechnic University of Timișoara) work for big data analytics firm Atigeo. …”

“…The 2019 Strata Data Conference NYC, the biggest Big Data conference in the world, was a massive success. …”

“…With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science; How random sampling can reduce bias and yield a higher-quality dataset, even with big data; How the principles of experimental design yield definitive answers to questions; How to use regression to estimate outcomes and detect anomalies; Key classification techniques for predicting which categories a record belongs to; Statistical machine learning methods that "learn" from data; Unsupervised learning methods for extracting meaning from unlabeled data…”

“…AuflageKonzepte, Entwurf, Design, ImplementierungKonkrete Erläuterungen am PraxisbeispielZahlreiche Aufgaben mit Musterlösungen sowie Anregungen für eigene ProjekteAus dem Inhalt:Datenbanksysteme, Datenbankanwendungen und MiddlewareDas relationale DatenbankmodellER-Datenbankmodellierung und NormalisierungSQL-GrundlagenProjektablauf bei der Erstellung einer DatenbankTransaktionen und konkurrierende ZugriffeFat- und Thin-ClientmodelleClient-Server-ArchitekturVerteilte DatenbanksystemeData WarehousesData MiningLINQEinführung in Big DataDieses Buch richtet sich an alle, die…”

“…Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. …”

“…Y analiza cómo la aplicación de nuevas tecnologías y el big data están transformando la investigación en este campo, abriendo paso hacia un futuro donde las personas afectadas puedan disfrutar de una mayor calidad de vida. …”

“…It also provides examples of how to link communities, movements, networks, artists, and academic institutions, and to forge new and humane reciprocal paradigms, dialogues, visuals, and technologies that replace and reverse the dehumanization of refugees within imperialist gazes and frames, sensational stories, savior narratives, big data, colorful mapping, and spectator scholarship. …”

“…A tu alrededor puedes ver cómo las empresas de todos los sectores están trasladando el crecimiento del PIB y el empleo a las actividades digitales, donde aparecen nuevas ocupaciones para las que se necesitan nuevas competencias duras que dan lugar a una revolución en el trabajo de directivos, técnicos y del trabajo cualificado.Este libro te ayudará a comprender la transformación digital por medio de tecnologías como la movilidad, Cloud Computing, Big Data, Internet de las cosas (IoT), Smart Cities o la Industria 4.0, que digitalizan nuestros domicilios, hacen las ciudades más inteligentes y transforman el trabajo en las fábricas del futuro.En Trabajar en la era digital, encontrarás el listado de competencias necesarias para tu futuro, así como la relación de nuevas ocupaciones con empleo y las herramientas para desarrollarlas. …”

“…Entre los casos de estudio se abordan las posibilidades de microsegmentar los públicos e hiperpersonalizar los contenidos que aporta el big data o el desarrollo de entornos basados en inteligencia artificial para la asunción de tareas mecánicas que no tienen valor o para la extracción de datos relevantes para la toma de decisiones. …”

“…Desde los primeros parques tecnológicos, hasta las smart cities y el big data, las políticas urbanas de innovación han ido descubriendo que no basta con la tecnología para crear ciudades más prósperas, sostenibles y saludables. …”

Tabla de Contenidos: “…/ Chloë Ballesté -- La comercialización de la genética / Carme Barrot -- Investigación y mercados emergentes: webs, apps, big data, muestras biológicas e información genética / Miriam Méndez García -- La tendencia a la mercantilización de partes del cuerpo humano y de la intimidad en investigación con muestras biológicas y datos (pequeños y masivos) / Itziar de Lecuona…”

Tabla de Contenidos: “…Step 7: Prepare for Service Failure Management Step 8: Understand the Disaster Recovery Plan; Step 9: Develop an Effective Management Process; Step 10: Understand the Exit Process; SLA Expectations; Conclusion; Notes; Part 3: Business Intelligence and the Cloud; Chapter 7: Business Intelligence: The Interaction of Business Intelligence and Cloud Computing; BI Strategy; Objectives for a BI Project; The Analytics Cycle; Data Collection; Data Analysis; Data Distribution; Conclusion; Notes; Chapter 8: Big Data's Effects on BI Efforts in the Cloud; Defining Big Data; High Volume; High Velocity…”

Tabla de Contenidos: “…A variation of PCA for big data-randomized PCALatent Factor Analysis (LFA); Linear Discriminant Analysis (LDA); Latent Semantical Analysis (LSA); Independent Component Analysis (ICA); Kernel PCA; Restricted Boltzmann Machine (RBM); Detection and treatment of outliers; Univariate outlier detection; EllipticEnvelope; OneClassSVM; Scoring functions; Multilabel classification; Binary classification; Regression; Testing and validating; Cross-validation; Using cross-validation iterators; Sampling and bootstrapping; Hyper-parameters optimization; Building custom scoring functions…”

Tabla de Contenidos: “…Working of the eDisMax query parserThe minimum should match parameter; Working of filters; Using BRS queries instead of DisMax; Building custom query parser; Proximity search using SWAN queries; Creating a parboiled parser; Building a Solr plugin for SWAN queries; Integrating the SWAN plugin in Solr; Summary; Chapter 4: Solr for Big Data; Introduction to big data; Getting data points using facets; Field faceting; Query and range faceting; Radius faceting for location-based data; The geofilt filter; The bounding box filter; Rectangle filter; Distance function queries; Radius faceting…”

Tabla de Contenidos: “…CAPTCHAs -- Deeper networks -- Reinforcement learning -- Authorship Attribution -- Increasing the sample size -- Blogs dataset -- Local n-grams -- Clustering News Articles -- Clustering Evaluation -- Temporal analysis -- Real-time clusterings -- Classifying Objects in Images Using Deep Learning -- Mahotas -- Magenta -- Working with Big Data -- Courses on Hadoop -- Pydoop -- Recommendation engine -- W.I.L.L -- More resources -- Kaggle competitions -- Coursera -- Index…”

Tabla de Contenidos: “…Intro -- Contents -- 1 Safety in a Digital Age: Old and New Problems-Algorithms, Machine Learning, Big Data and Artificial Intelligence -- References -- 2 The Digitalisation of Risk Assessment: Fulfilling the Promises of Prediction? …”

Tabla de Contenidos: “…4 An Approach to Facilitate Security Assurance for Information Sharing and Exchange in Big-Data Applications Introduction; UML extensions for XML security; Extensions for policy modeling and integration; Integrating local security policies into a global security policy; Assumptions and equivalence finding; Integration process for local SPSS; Resolving conflicts of integrated security rule sets; Creating the global SPSS; Related work; Conclusion; References; 5 Gamification of Information Security Awareness Training; Introduction; Literature review; General concepts; Serious games…”