Tabla de Contenidos: “…Un ejemplo de wiki: wikipedia; 6. Forma de evaluarlas; 6.1 Formas de evaluar una webquest o una caza del tesoro; 6.2 Formas de evaluar una weblog o bitácora; 6.3 Formas de evaluar una wiki…”

Tabla de Contenidos: “…Iniciativas GLAM-Wiki: Wikipedia como oportunidad para institucionesculturales; B. 9 Nueve errores comunes en la aplicación de la tecnología móvil en bibliotecas…”

Tabla de Contenidos: “…-- Licensing prerequisites -- Configuring solution prerequisites -- Creating a shared mailbox -- Creating a Microsoft Teams team -- Configuring a sentiment analysis flow -- Testing the flow -- Further exploration -- Summary -- Chapter 7: Using Power Automate and AI to Build PowerPoint Presentations -- Licensing prerequisites -- Learning about the Encodian Flowr connector -- Input formatting -- Tokens -- Populate PowerPoint -- Merge Presentations -- Interacting with Wikipedia articles -- Creating a PowerPoint template -- Creating the flow -- Creating the Generate Content Summaries scope -- Configuring the JSON parameters -- Customizing the GPT prompt -- Creating the Generate Slides scope -- Working with Encodian Flowr -- Testing the flow -- Further exploration -- Summary -- Chapter 8: Building an Event Registration App with Identity Verification -- Designing a solution -- Licensing prerequisites -- Configuring solution prerequisites -- Configuring SharePoint Online -- Establishing a Teams meeting -- Building an input form -- Creating flows -- Configuring a flow to handle form submission -- Processing the identity document -- Sending confirmation messages -- Testing the flow -- Further exploration -- Summary -- Chapter 9: Implementing an AI-Enabled Resume Screener -- Designing a solution -- Licensing prerequisites -- Configuring solution prerequisites -- Creating a shared mailbox -- Creating a team -- Configuring SharePoint Online -- Configuring the AI model -- Enabling the Cloudmersive connector -- Creating a flow -- Configuring the trigger and variables -- Processing the attachment and candidate record -- Extracting information from a resume and updating a candidate record -- Evaluating the resume with a prompt -- Updating the candidate record -- Sending confirmation messages -- Testing the flow…”

Tabla de Contenidos:

“…Um zu sehen, wie digitalen Netzbürgern bekannte Konzepte wie Wikipedia oder Linux auf so ziemlich alle gesellschaftlichen Bereiche angewandt werden können.« Ole Reißmann, Spiegel online, 23.07.2012 »Der Antwort auf die Frage, was ›das gute Leben‹ ausmacht, kommt man mit diesem Buch sicherlich ein Stückchen näher.« Max Wandel, LateinamerikaNachrichten, 7/8 (2012) »Ich empfehle nicht nur dem transcript Verlag zuliebe die Druckversion. …”

Tabla de Contenidos: “…Intro -- Prólogo -- Agradecimientos -- Introducción -- Introducción a las redes sociales y la atracción de talento -- Elementos clave del proceso de atracción y selección de talento -- Diversidad generacional -- Generación Y -- Employer branding -- Evolución de los medios de reclutamiento -- La evolución de Internet y las nuevas tecnologías 2.0 -- Evolución de la tecnología y medios de comunicación -- Evolución de la Web 1.0, Web 2.0 y Web 3.0 -- Características de la Web 2.0 -- Las nuevas tecnologías en los procesos de atracción y selección de talento: sms, Wikipedia, Google, Skype, YouTube, Twitter, Facebook, MySpace, Tuenti, Orkut, LinkedIn, Xing, Viadeo, Delicious, Flickr, WordPress, Blogger, Slideshare, Plaxo, Ning, SecondLife, RSS, Wisetamp, Getyoo, Myonepage, Addthis, Wibiya -- Definición, evolución y objetivo de una red social. -- Definición y origen de las redes socials -- La teoría de los seis grados de separación -- Evolución y crecimiento de las redes socials -- Identidad digital -- Claves de éxito de las redes socials -- Evolución en la comunicación -- El principio de Pareto y los mapas mentales para una efectiva gestión del tiempo en las redes socials -- La ventana de Johari -- Tipología y funcionalidades de las redes sociales y herramientas 2.0 en el proceso de la selección de talento y la búsqueda de empleo -- Tipos de redes sociales: generalistas, profesionales, verticals -- Redes sociales generalistas: Facebook, Tuenti, MySpace y Orkut -- Facebook -- Redes sociales profesionales: LinkedIn, Xing, Viadeo -- Principales ventajas de las redes sociales profesionales -- Redes sociales verticales o especializadas: Moterus, Ticket 2 Law, etc -- LinkedIn -- Darse de alta y crear un perfil en LinkedIn -- Comunicarse y crear una red de contactos en LinkedIn -- Tener recomendaciones en LinkedIn…”

Tabla de Contenidos: “…-- 4.2 Google - vom Start-up zum Monopolisten -- 4.3 Googles Wikipedia: Der Knowledge Graph -- 4.4 Die Tricks von Google -- 4.5 Arten von Suchanfragen -- 4.6 Die Google User Experience als Qualitätsversprechen -- 4.7 Unterschiede zwischen Suchmaschinen und Sprachmodellen -- 4.8 Sprachmodell und Suchmaschine: Versuche einer Synthese -- 5 Ethische Gesichtspunkte -- 5.1 Weiß die KI, was sie tut? …”

Tabla de Contenidos: “…-- Our code -- Processing BitcoinSpendReceipt -- Summary -- Exercises -- Chapter 14: Adding Speech and Search to Your Microservice -- Text-to-Speech -- Installation -- Our program -- Our messages -- Subscribing to messages -- Processing speech request messages -- Processing Wikipedia search messages -- Using Text-to-Speech -- Summary -- Appendix: Best Practices -- Microservices -- Messaging -- Scheduling jobs -- Recommended reading -- Index…”

Tabla de Contenidos: “…Modeling the whole of Wikipedia -- Choosing the number of topics -- Summary -- Chapter 11: Classification III - Music Genre Classification -- Sketching our roadmap -- Fetching the music data -- Converting into WAV format -- Looking at music -- Decomposing music into sine-wave components -- Using FFT to build our first classifier -- Increasing experimentation agility -- Training the classifier -- Using a confusion matrix to measure accuracy in multiclass problems -- An alternative way to measure classifier performance using receiver-operator characteristics -- Improving classification performance with mel frequency cepstral coefficients -- Music classification using Tensorflow -- Summary -- Chapter 12: Computer Vision -- Introducing image processing -- Loading and displaying images -- Thresholding -- Gaussian blurring -- Putting the center in focus -- Basic image classification -- Computing features from images -- Writing your own features -- Using features to find similar images -- Classifying a harder dataset -- Local feature representations -- Image generation with adversarial networks -- Summary -- Chapter 13: Reinforcement Learning -- Types of reinforcement learning -- Policy and value network -- Q-network -- Excelling at games -- A small example -- Using Tensorflow for the text game -- Playing breakout -- Summary -- Chapter 14: Bigger Data -- Learning about big data -- Using jug to break up your pipeline into tasks -- An introduction to tasks in jug -- Looking under the hood -- Using jug for data analysis -- Reusing partial results -- Using Amazon Web Services -- Creating your first virtual machines -- Installing Python packages on Amazon Linux -- Running jug on our cloud machine -- Automating the generation of clusters with cfncluster -- Summary -- Appendi A: Where to Learn More About Machine Learning -- Online courses -- Books -- Blogs…”

Tabla de Contenidos: “…Las TIC contra las TIC -- 43. Wikipedia -- 44. Cajas negras -- 45. Más lecciones del Prestige -- 46. …”

Tabla de Contenidos: “…B. von Open-Source-Aktivitäten -- Jobmessen -- Hochschulmarketing und mehr -- Ihre Präsenz im Netz -- Unternehmenswebsite -- Die Karriereseite -- Arbeitgeberbewertungsportale -- Weitere Plattformen zur Arbeitgeberbewertung -- Social Media -- Unternehmensblog -- Xing und LinkedIn -- Twitter -- Facebook, Instagram, Pinterest -- Auftritte auf anderen Plattformen -- Quora -- Wikipedia -- Whatchado -- Reaktionen testen und messen -- Kapitel 3 - Stellenanzeigen -- Worauf Sie verzichten können -- Abschreckende Beispiele -- Superlative und Lobeshymnen auf das eigene Unternehmen -- Abstrakt beschriebene Aufgaben -- Einander widersprechende Anforderungen -- Überzogene Anforderungen -- Abstrakt beschriebene Soft Skills -- Nichtssagende Angebote voller Selbstverständlichkeiten -- Anschreiben -- Gehaltswunsch -- Angaben zum frühestmöglichen Arbeitsbeginn -- Befristung -- Worauf es ankommt -- Jobbezeichnung -- Informationen zu Ihrem Unternehmen -- Konkrete Aufgaben -- Realistische und schlüssige Anforderungen -- Formale Ausbildung -- Zertifikate -- Erfahrung -- Sprachkenntnisse -- Toolkenntnisse -- Reisebereitschaft -- Soft Skills -- Konkretes und attraktives Angebot -- Individuelle Weiterbildungsmöglichkeiten -- Perspektiven im Unternehmen -- Besonders flexible Arbeitszeiten -- Urlaubstage -- Arbeitszeitkonto oder Vertrauensarbeitszeit -- Freistellung für eigene Projekte oder Ehrenämter…”

Tabla de Contenidos: “…-- Researching Cryptocurrencies -- Mining profitability comparison sites -- Algorithms and cryptocurrencies -- The cryptocurrency's details page -- Mining-profit calculators -- The cryptocurrency's home page -- GitHub -- The cryptocurrency's Wikipedia page -- Mining forums -- Going Deep -- Longevity of a cryptocurrency -- Hash rate and cryptocurrency security -- Community support -- Knowing That Decentralization Is a Good Thing -- Finding Out It's an Iterative Process -- Chapter 9 Gathering Your Mining Gear -- Selecting the Correct Computational Mining Hardware -- Specified hash rate -- Specified power consumption -- Equipment cost and other considerations -- Length of time your hardware will be viable -- Mining Equipment Manufacturers -- ASIC rig producers -- Mining container producers -- GPU rig producers -- Finding a Wallet to Store and Protect Your Private Keys -- Where to Mine? …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Getting Started with Data Science -- Problems solved using data science -- Understanding the data science problem - solving approach -- Using Java to support data science -- Acquiring data for an application -- The importance and process of cleaning data -- Visualizing data to enhance understanding -- The use of statistical methods in data science -- Machine learning applied to data science -- Using neural networks in data science -- Deep learning approaches -- Performing text analysis -- Visual and audio analysis -- Improving application performance using parallel techniques -- Assembling the pieces -- Summary -- Chapter 2: Data Acquisition -- Understanding the data formats used in data science applications -- Overview of CSV data -- Overview of spreadsheets -- Overview of databases -- Overview of PDF files -- Overview of JSON -- Overview of XML -- Overview of streaming data -- Overview of audio/video/images in Java -- Data acquisition techniques -- Using the HttpUrlConnection class -- Web crawlers in Java -- Creating your own web crawler -- Using the crawler4j web crawler -- Web scraping in Java -- Using API calls to access common social media sites -- Using OAuth to authenticate users -- Handing Twitter -- Handling Wikipedia -- Handling Flickr -- Handling YouTube -- Searching by keyword -- Summary -- Chapter 3: Data Cleaning -- Handling data formats -- Handling CSV data -- Handling spreadsheets -- Handling Excel spreadsheets -- Handling PDF files -- Handling JSON -- Using JSON streaming API -- Using the JSON tree API -- The nitty gritty of cleaning text -- Using Java tokenizers to extract words -- Java core tokenizers -- Third-party tokenizers and libraries…”

Tabla de Contenidos: “…. -- Chapter 2: Ingesting General Content Data -- Introducing the Wikipedia Movie Plots dataset -- Technical requirements -- Adding data from the Elasticsearch client -- Getting ready -- How to do it... -- How it works... -- There's more... -- Updating data in Elasticsearch -- Getting ready -- How to do it... -- How it works... -- There's more... -- Deleting data in Elasticsearch -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Using an analyzer -- Getting ready -- How to do it... -- How it works... -- There's more... -- Defining index mapping -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…-- 16.2 The Great Divide: Language versus Statistics -- 16.3 Example: Sentiment Analysis on Stock Market Articles -- 16.4 Software and Datasets -- 16.5 Tokenization -- 16.6 Central Concept: Bag-of-Words -- 16.7 Word Weighting: TF-IDF -- 16.8 n-Grams -- 16.9 Stop Words -- 16.10 Lemmatization and Stemming -- 16.11 Synonyms -- 16.12 Part of Speech Tagging -- 16.13 Common Problems -- 16.14 Advanced NLP: Syntax Trees, Knowledge, and Understanding -- 16.15 Further Reading -- 16.16 Glossary -- Chapter 17 Time Series Analysis -- 17.1 Example: Predicting Wikipedia Page Views -- 17.2 A Typical Workflow -- 17.3 Time Series versus Time-Stamped Events -- 17.4 Resampling an Interpolation…”

Tabla de Contenidos: “…Formación de traductoras con perspectiva de género desde un proyecto sobre Covid-19 y wikipedia / Capítulo 3. Análisis de la motivación hacia el aprendizaje en el alumnado del grado de educación primaria a través de una herramienta de encuesta / Capítulo 4. …”
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“…Most have more faith information found on Wikipedia more than they say others should; and they consider an article on the Web site of Encyclopedia Britannica more believable than the identical article found on Wikipedia. …”

“…He is an avid Wikipedian and co-creator of several Wikipedia-based projects, such as Listen To Wikipedia ( listen.hatnote.com ) and The Weeklypedia ( weekly.hatnote.com ). …”

“…Shows you what to measure, how to measure, and ways to interpret the data Provides real-world customer analytics examples from companies such as Wikipedia, PayPal, and Walmart Explains how to use customer analytics to make smarter business decisions that generate more loyal customers Offers easy-to-digest information on understanding each stage of the customer journey Whether you're part of a Customer Engagement team or a product, marketing, or design professional looking to get a leg up, Customer Analytics For Dummies has you covered…”

“…Las epístolas se centran en varios temas tradicionales dentro de la filosofía estoica, tales como la indiferencia ante la muerte, la valentía del sabio y la virtud como el bien supremo. (En: https://es.wikipedia.org/wiki/Cartas_a_Lucilio)…”