“…You’ll cover everything, from automating the generation of release notes to building and testing your software and deploying securely to Azure, Amazon Web Services (AWS), or Google Cloud using OpenID Connect (OIDC), secrets, variables, environments, and approval checks. …”

Tabla de Contenidos: “…Advanced topics -- 7 Attention -- 7.1 Neural attention -- 7.2 Data -- 7.3 Static attention: MLP -- 7.4 Temporal attention: LSTM -- 7.5 Experiments -- 7.5.1 MLP -- 7.5.2 LSTM -- Summary -- 8 Multitask learning -- 8.1 Introduction to multitask learning -- 8.2 Multitask learning -- 8.3 Multitask learning for consumer reviews: Yelp and Amazon -- 8.3.1 Data handling -- 8.3.2 Hard parameter sharing -- 8.3.3 Soft parameter sharing -- 8.3.4 Mixed parameter sharing -- 8.4 Multitask learning for Reuters topic classification -- 8.4.1 Data handling -- 8.4.2 Hard parameter sharing -- 8.4.3 Soft parameter sharing -- 8.4.4 Mixed parameter sharing -- 8.5 Multitask learning for part-of-speech tagging and named-entity recognition -- 8.5.1 Data handling -- 8.5.2 Hard parameter sharing -- 8.5.3 Soft parameter sharing -- 8.5.4 Mixed parameter sharing -- Summary -- 9 Transformers -- 9.1 BERT up close: Transformers -- 9.2 Transformer encoders -- 9.2.1 Positional encoding -- 9.3 Transformer decoders -- 9.4 BERT: Masked language modeling -- 9.4.1 Training BERT -- 9.4.2 Fine-tuning BERT -- 9.4.3 Beyond BERT -- Summary -- 10 Applications of Transformers: Hands-on with BERT -- 10.1 Introduction: Working with BERT in practice -- 10.2 A BERT layer -- 10.3 Training BERT on your data -- 10.4 Fine-tuning BERT -- 10.5 Inspecting BERT…”

Tabla de Contenidos: “…Conté: El filosofo y la covdad epistemologica / Celia Amorós -- El arquetipo viril y el yo consciente del saber / Amparo Moreno Sardà -- La actualidad de una pregunta de Simone de Beavoir ¿Hay que quemar a Sade? …”

Tabla de Contenidos: “…Vagrant -- Convenient Vagrant Configuration Options -- Port Forwarding and Private IP Addresses -- Enabling Agent Forwarding -- The Ansible Provisioner -- When the Provisioner Runs -- Inventory Generated by Vagrant -- Provisioning in Parallel -- Specifying Groups -- Chapter 12. Amazon EC2 -- Terminology -- Instance -- Amazon Machine Image -- Tags -- Specifying Credentials -- Environment Variables -- Configuration Files -- Prerequisite: Boto Python Library -- Dynamic Inventory -- Inventory Caching -- Other Configuration Options -- Auto-Generated Groups -- Defining Dynamic Groups with Tags -- Applying Tags to Existing Resources -- Nicer Group Names -- EC2 Virtual Private Cloud (VPC) and EC2 Classic -- Configuring ansible.cfg for Use with ec2 -- Launching New Instances -- EC2 Key Pairs -- Creating a New Key -- Upload an Existing Key -- Security Groups -- Permitted IP Addresses -- Security Group Ports -- Getting the Latest AMI -- Adding a New Instance to a Group -- Waiting for the Server to Come Up -- Creating Instances the Idempotent Way -- Putting It All Together -- Specifying a Virtual Private Cloud -- Dynamic Inventory and VPC -- Building AMIs…”

Tabla de Contenidos: “…Authentication and authorization -- Data governance -- Data lineage -- Other data governance measures -- Hands-on exercise - data management for ML -- Creating a data lake using Lake Formation -- Creating a data ingestion pipeline -- Creating a Glue Data Catalog -- Discovering and querying data in the data lake -- Creating an Amazon Glue ETL job to process data for ML -- Building a data pipeline using Glue workflows -- Summary -- Chapter 5: Exploring Open-Source ML Libraries -- Technical requirements -- Core features of open-source ML libraries -- Understanding the scikit-learn ML library -- Installing scikit-learn -- Core components of scikit-learn -- Understanding the Apache Spark ML library -- Installing Spark ML -- Core components of the Spark ML library -- Understanding the TensorFlow deep learning library -- Installing TensorFlow -- Core components of TensorFlow -- Hands-on exercise - training a TensorFlow model -- Understanding the PyTorch deep learning library -- Installing PyTorch -- Core components of PyTorch -- Hands-on exercise - building and training a PyTorch model -- How to choose between TensorFlow and PyTorch -- Summary -- Chapter 6: Kubernetes Container Orchestration Infrastructure Management -- Technical requirements -- Introduction to containers -- Overview of Kubernetes and its core concepts -- Namespaces -- Pods -- Deployment -- Kubernetes Job -- Kubernetes custom resources and operators -- Services -- Networking on Kubernetes -- Security and access management -- API authentication and authorization -- Hands-on - creating a Kubernetes infrastructure on AWS -- Problem statement -- Lab instruction -- Summary -- Chapter 7: Open-Source ML Platforms -- Core components of an ML platform -- Open-source technologies for building ML platforms -- Implementing a data science environment -- Building a model training environment…”

Tabla de Contenidos: “…Profesión ; Los profesionales de la información en España, tres años después; Los moocs: viables, inquietantes y consistentes; Information schools. …”

Tabla de Contenidos: “…Los hidalgos de la sierraMozos y lobos en los márgenes; Rondar, desafiar, robar; El lobo como emblema del guerrero; Ethosy grupos de edad; Los recursos patrimoniales en las zonas serranas; 5 LOS PACTOS VECINALES DEL COLECTIVISMO AGRARIO. …”

Tabla de Contenidos: “…CANON AUTORIAL Y ESCÉNICO: LO SOCIOPOLÍTICO COMO ELECCIÓN DRAMÁTICA -- El tratamiento del machismo en el teatro posfranquista / Luces y sombras de la nueva identidad femenina en el teatro español actual / Personajes políticos y culturales en el teatro histórico actual: del Conde-Duque de Olivares a Samaniego / Esos laberintos de la conciencia: Buero Vallejo en la transición y la democracia / Alfonso Sastre y Edgar Allan Poe: una relación literaria / Forma y función de un teatro documental español: "Ahlán", de Jerónimo López Mozo / Lourdes ante Lorca. "El local de Bernardeta A." (1995) / La fauna urbana en el teatro de José Luis Alonso de Santos: del "moro" a la moralidad / Temas sociales conflictivos en el teatro de José Luis Alonso de Santos / "Cachorros de negro mirar", de Paloma Pedrero y "El traductor de Blumemberg", de Juan Mayorga: dos acercamientos al neonazismo / III. …”

Tabla de Contenidos: “…LA RELACIÓN ENTRE EL MATADOR Y LOSSUBALTERNOS6.3. LA RELACIÓN CON EL MOZO DE ESPADAS; 6.4. ¿CONTRATO DE GRUPO O DE AUXILIOASOCIADO?…”

Tabla de Contenidos: “…JOSÉ LUIS PÉREZ DE AYALA Y LÓPEZ DE AYALA; HOMENAJE (APASIONADO) AL PROFESOR PÉREZ DE AYALA; CUARENTA AÑOS DE AMISTAD CON JOSÉ LUIS PÉREZ DE AYALA; I. El despacho de Amorós; II. La Editorial de Derecho Financiero; III. …”

Tabla de Contenidos: “…SUJETO, PROCESO Y PROYECTO PARA LA TRANSFORMACIÓN DEMOCRÁTICA(pp. 199-218) -- Saúl Curto-López and Luis Miguel Uharte Pozas -- PARTE III: ESTRATEGIAS PRÁCTICAS PARA LA PARTICIPACIÓN EN LA SOCIEDAD VASCA -- LA AUTODETERMINACIÓN EN EL PAÍS VASCO: DISCURSOS DE LOS MOVIMIENTOS SOCIALES Y PARTIDOS POLÍTICOS SOBRE EL DERECHO A DECIDIR(pp. 221-240) -- Amalur Álvarez, Ander Vizán-Amorós and Julen Zabalo -- EL ACTIVISMO JUVENIL COMO CAMPO DE PRÁCTICAS CIUDADANAS PERFORMATIVAS. …”

Tabla de Contenidos: “…Urretavizcaya y E. Martínez-Amorós 33. Otros tratamientos biológicos en psiquiatría N. …”

Tabla de Contenidos: “…La medición del share social -- Los macrodatos -- La crisis de la audiometría tradicional -- La HbbTV como confluencia de televisión e internet -- La publicidad programática -- El mercado del VoD en España -- La televisión comercial (OTT) -- Atresplayer (Atresmedia) -- Mitele (Mediaset) -- La televisión pública -- Televisión pública de ámbito estatal: RTVE Play -- Televisión pública de ámbito autonómico: 3Cat -- La televisión de pago -- Movistar Plus -- Vodafone One -- Orange -- Las plataformas de SVoD -- Netflix -- Hulu -- HBO -- Amazon Prime Video -- Rakuten TV (antes Wuaki.tv) -- Sky -- YouTube Premium -- Apple TV -- Google Play -- Filmin -- Redes sociales -- IGTV (Instagram) -- X (antes Twitter) -- Facebook -- ¿Quo vadis, TV? …”

Tabla de Contenidos: “…Required Multi-Master Configuration Settings -- Optional Multi-Master Configuration Settings -- Other Configuration Variables to Consider -- Example Configuration -- Replication Setup -- Multi-Master Replication Verification -- Manual Failover Process -- Real World Usage Complications -- Additional Slave Servers -- Read and Write Load Balancing -- Circular Replication -- Other Replication Topologies -- Automating High Availability Failovers -- Conclusion -- Chapter 5: MySQL Replication Tools -- Various MySQL Toolkits -- Openark Kit -- Percona Toolkit -- MySQL Workbench Utilities -- Replication Failover Managers -- MySQL MHA -- MMM -- Flipper -- Cluster Control -- Cluster Management -- Percona Replication Manager (PRM) -- Replication Prefetch -- MySQL Patches and Variants -- Independent Community Users -- Commercial Organizations -- Conclusion -- Chapter 6: Extending Replication for Practical Needs -- Highly Requested Replication Features -- MySQL Cluster -- Galera Cluster for MySQL -- Current Limitations -- References -- Installation -- Percona XtraDB Cluster -- MariaDB Galera Cluster -- Galera Wrap-Up -- Tungsten Replicator -- Features -- References -- Prerequisites -- Installation with Tungsten Sandbox -- Manual Tungsten Installation -- Alternative Tungsten Deployments -- Unique Characteristics -- Continuent Tungsten -- Continuent Wrap-Up -- SchoonerSQL -- MySQL Replication Listener -- MySQL in the Cloud -- Amazon RDS for MySQL -- Google Cloud SQL -- Other Offerings -- Conclusion -- Chapter 7: MySQL Configuration Options -- About MySQL System Variables -- Binary Logging -- MySQL Replication -- Semisynchronous Replication -- Security -- MySQL Server Variables -- InnoDB Variables -- MySQL 5.6 Features -- Universally Unique Identifier (UUID) -- Crash-Safe Slaves -- Replication Checksums -- Multi-Threaded Slaves -- Global Transaction Identifier (GTID)…”

Tabla de Contenidos: “…SageMaker Clarify -- Building a LightGBM ML pipeline with Amazon SageMaker -- Setting up a SageMaker session -- Preprocessing step -- Model training and tuning -- Evaluation, bias, and explainability -- Deploying and monitoring the LightGBM model -- Results -- Summary -- References -- Chapter 10: LightGBM Models with PostgresML -- Technical requirements -- Introducing PostgresML -- Latency and round trips -- Getting started with PostgresML -- Training models -- Deploying and prediction -- PostgresML dashboard -- Case study - customer churn with PostgresML -- Data loading and preprocessing -- Training and hyperparameter optimization -- Predictions -- Summary -- References -- Chapter 11: Distributed and GPU-Based Learning with LightGBM -- Technical requirements -- Distributed learning with LightGBM and Dask -- GPU training for LightGBM -- Setting up LightGBM for the GPU -- Running LightGBM on the GPU -- Summary -- References -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…. -- Searching for SOAP methods from an Amazon S3 web service -- Getting ready -- How to do it... -- How it works... -- Searching Amazon for books through the product search API -- Getting ready -- How to do it... -- How it works... -- Creating RESTful web applications with Flask -- Getting ready -- How to do it... -- How it works…”