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23261
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23262por Barcelona (Catalunya).Tabla de Contenidos: “…Josep Lluís Mateo i Martínez -- P.E. Illa Pont del Dragó, Arq. Miquel Álvarez i Trincado -- E.D. Hispano Olivetti, Arq. …”
Publicado 1987
Libro -
23263Publicado 2014Tabla de Contenidos: “…. -- Block reader functions -- Pickle corpus view -- Concatenated corpus view -- See also -- Creating a MongoDB-backed corpus reader -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Corpus editing with file locking -- Getting ready -- How to do it... -- How it works... -- 4. …”
Libro electrónico -
23264Publicado 2017Tabla de Contenidos: “…. -- Storing and retrieving data with MongoDB -- Getting ready -- How to do it…”
Libro electrónico -
23265Publicado 2017Tabla de Contenidos: “…. -- How it works... -- Implementing page redirection and Flash-scoped beans -- Getting started -- How to do it... -- How it works... -- Creating database connection pooling -- Getting started -- How to do it... -- How it works... -- Implementing the DAO layer using the Spring JDBC Framework -- Getting Started -- How to do it... -- How it works... -- Creating a service layer in an MVC application -- Getting started -- How to do it... -- How it works... -- Chapter 4: Securing Spring MVC Applications -- Configuring Spring Security 4.2.2 -- Getting started -- How to do it... -- How it works... -- Mapping sessions to channels and ports -- Getting started -- How to do it... -- How it works... -- Customizing the authentication process -- Getting started…”
Libro electrónico -
23266Publicado 2017Tabla de Contenidos: “…Colors have to be chosen carefully -- A bit of theory - chromatic circle, hue, and luminosity -- Visualizing your data with ggplot -- One more gentle introduction - the grammar of graphics -- A layered grammar of graphics - ggplot2 -- Visualizing your banking movements with ggplot2 -- Visualizing the number of movements per day of the week -- Further references -- Summary -- Chapter 3: The Data Mining Process - CRISP-DM Methodology -- The Crisp-DM methodology data mining cycle -- Business understanding -- Data understanding -- Data collection -- How to perform data collection with R -- Data import from TXT and CSV files -- Data import from different types of format already structured as tables -- Data import from unstructured sources -- Data description -- How to perform data description with R -- Data exploration -- What to use in R to perform this task -- The summary() function -- Box plot -- Histograms -- Data preparation -- Modelling -- Defining a data modeling strategy -- How similar problems were solved in the past -- Emerging techniques -- Classification of modeling problems -- How to perform data modeling with R -- Evaluation -- Clustering evaluation -- Classification evaluation -- Regression evaluation -- How to judge the adequacy of a model's performance -- What to use in R to perform this task -- Deployment -- Deployment plan development -- Maintenance plan development -- Summary -- Chapter 4: Keeping the House Clean - The Data Mining Architecture -- A general overview -- Data sources -- Types of data sources -- Unstructured data sources -- Structured data sources -- Key issues of data sources -- Databases and data warehouses -- The third wheel - the data mart -- One-level database -- Two-level database -- Three-level database -- Technologies -- SQL -- MongoDB -- Hadoop -- The data mining engine -- The interpreter…”
Libro electrónico -
23267por Adamovich, AndreyTabla de Contenidos: “…. -- See also -- Using Groovy to access MongoDB -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Using Groovy to access Apache Cassandra -- Getting ready -- How to do it... -- How it works... -- See also -- 8. …”
Publicado 2013
Libro electrónico -
23268Publicado 2017Tabla de Contenidos: “…Moving and aligning single elements -- Aligning groups of elements -- Miscellaneous layout capabilities -- Pentaho Report Designer shortcut keys -- Considerations for different output formats -- Cell output -- Paging -- Limits to rich graphics and charts -- Summary -- Chapter 6: Configuring JDBC and Other Data Sources -- Introducing data sources -- Datasets& -- #160 -- in report explorer -- The JDBC data source -- Adding or editing a JDBC connection -- About the JNDI access -- Adding or editing a query -- The metadata data source -- The MongoDB data source -- The Pentaho Data Integration data source -- The OLAP data source -- Pentaho analysis -- OLAP4J -- Pentaho analysis - custom -- The XML data source -- The table data source -- The advanced data source -- Scriptable -- External -- Sequence generator -- OpenERP data access -- The Pentaho community data access data source -- Summary -- Chapter 7: Including Graphics and Charts in Reports -- Including static images& -- #160 -- in reports -- Including dynamic& -- #160 -- images& -- #160 -- in reports -- Including charts& -- #160 -- in reports -- Types of& -- #160 -- datasets -- Category dataset -- Common properties -- Series& -- #160 -- properties -- Group& -- #160 -- properties -- Optional& -- #160 -- properties -- Pie dataset -- XY series and XYZ series dataset -- Time series dataset -- Thermometer dataset -- Style and layout common properties -- Required properties -- Title properties -- General properties -- Legend& -- #160 -- properties -- Scripting& -- #160 -- properties -- Bar& -- #160 -- chart -- Bar chart example -- Line chart -- Line chart example -- Area chart -- Area& -- #160 -- chart example -- Pie chart -- Pie& -- #160 -- chart example -- Multipie chart -- Multipie& -- #160 -- chart example -- Bar line chart -- Bar line& -- #160…”
Libro electrónico -
23269por Young, John W., 1957-Tabla de Contenidos: “…The Pueblo Incident, 1968. 41. Czechoslovakia's 'Prague Spring', 1968. 42. Sino-Soviet border clashes, 1969-89. 43. …”
Publicado 1994
Libro -
23270Publicado 2022“…Learn, build, and execute big data strategies with Scala and Spark, PySpark and AWS, data scraping and data mining with Python, and master MongoDB About This Video Data scraping and data mining for beginners to pro with Python Clear unfolding of concepts with examples in Python, Scrapy, Scala, PySpark, and MongoDB Master Big Data with PySpark and AWS In Detail Part 1 is designed to reflect the most in-demand Scala skills. …”
Video -
23271
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23272por Sapienza, Leonardo“…Il 21 giugno 1963 viene eletto Papa Giovanni Battista Montini, Paolo VI. Il timone della barca di Pietro, come egli amava definire la Chiesa, passa nelle sue mani. …”
Publicado 2018
Libro -
23273
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23274Publicado 2022“…Learn how to use Vue, Node.js, Express, and MongoDB to create unique web applications and learn the fundamentals of full-stack development with the MEVN stack. …”
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