Tabla de Contenidos: “…La reconstrucción del sujeto y el Estado: big data y psicopolítica. 4. El big data en la ciberdefensa y la ciberseguridad nacional versus el derecho a la privacidad del ciudadano colombiano. 5. …”
Acceso restringido con credenciales UPSA

Acceso restringido con credenciales UPSA

“…Learning with Big Data : the future of education…”

“…Big Data…”
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Materias: Enlace del recurso

Tabla de Contenidos: “…Pedagogías públicas programables del software y los big data -- Bibliografía -- Índice de materias y nombres -- Contraportada…”
Acceso restringido con credenciales UPSA

Tabla de Contenidos: “…La reconstrucción del sujeto y el Estado: big data y psicopolítica. 4. El big data en la ciberdefensa y la ciberseguridad nacional versus el derecho a la privacidad del ciudadano colombiano. 5. …”

Materias: “…Big Data…”
Enlace del recurso

Accés lliure

Accés restringit als usuaris d'ESADE

Materias:

Tabla de Contenidos: “…Hindernisse und Lösungsangebote für eine Verständigung über den Umgang mit Massendaten -- Big Data, Data Analytics und Smart Services rund um Wohnen, Gesundheit und Mobilität -- Chancen und Risiken aus Sicht der Bürger -- Big Data: Bürgerschreck und Hoffnungsträger!…”

“…As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data. …”

Materias: “…Big data…”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Big Data and Artificial Intelligence Systems -- Results pyramid -- What the human brain does best -- Sensory input -- Storage -- Processing power -- Low energy consumption -- What the electronic brain does best -- Speed information storage -- Processing by brute force -- Best of both worlds -- Big Data -- Evolution from dumb to intelligent machines -- Intelligence -- Types of intelligence -- Intelligence tasks classification -- Big data frameworks -- Batch processing -- Real-time processing -- Intelligent applications with Big Data -- Areas of AI -- Frequently asked questions -- Summary -- Chapter 2: Ontology for Big Data -- Human brain and Ontology -- Ontology of information science -- Ontology properties -- Advantages of Ontologies -- Components of Ontologies -- The role Ontology plays in Big Data -- Ontology alignment -- Goals of Ontology in big data -- Challenges with Ontology in Big Data -- RDF-the universal data format -- RDF containers -- RDF classes -- RDF properties -- RDF attributes -- Using OWL, the Web Ontology Language -- SPARQL query language -- Generic structure of an SPARQL query -- Additional SPARQL features -- Building intelligent machines with Ontologies -- Ontology learning -- Ontology learning process -- Frequently asked questions -- Summary -- Chapter 3: Learning from Big Data -- Supervised and unsupervised machine learning -- The Spark programming model -- The Spark MLlib library -- The transformer function -- The estimator algorithm -- Pipeline -- Regression analysis -- Linear regression -- Least square method -- Generalized linear model -- Logistic regression classification technique -- Logistic regression with Spark -- Polynomial regression -- Stepwise regression -- Forward selection -- Backward elimination…”

Tabla de Contenidos: “…Architecting the enterprise via big data analytics / Joseph Betser and David Belanger -- ch. 2. …”

Materias: “…Big data…”

Tabla de Contenidos: “…Why big data? -- Neural networks in finance -- Supervised models -- Semi-supervised learning -- Letting the data speak with unsupervised learning -- Big data factor models -- Data as a signal versus noise -- Applications : big data in options pricing and stochastic modeling -- Data clustering…”