Tabla de Contenidos: “…-- A - Direction -- B - Gap -- C - Padding -- D - Alignment -- Adding, removing, and rearranging elements -- Nesting auto layout -- Resizing and constraints -- Resizing elements -- Differences with constraints -- Applying auto layout to our interface -- Shaping a button -- Completing the view -- Summary -- Chapter 7: Building Components and Variants in a Collaborative Workspace -- Creating and organizing components -- What are components? …”

Tabla de Contenidos: “…The Impact of the Toyota Way -- Organizational Inefficiencies and Complexity -- Operational Excellence -- Keys to Operational Excellence -- Operational Excellence Outcome -- Lean Six Sigma -- Lean Six Sigma Principles -- Principle #1: Focus on the Customer -- Principle #2: Identify and Understand How Work Gets Done -- Principle #3: Manage, Improve, and Smooth the Process Flow -- Principle #4: Remove Non-value-added Steps and Waste -- Principle #5: Manage by Fact and Reduce Variation -- Principle #6: Involve and Equip the People in the Process -- Principle #7: Undertake Improvement Activity in a Systematic Way -- Process Inventory Enhances Lean Six Sigma Effectiveness -- Sustained Knowledge Management -- Transparency -- Ownership Model -- Cross-Functional Coordination -- Leveraging Technology to Design Improvement -- Additional Operational Excellence Methods -- Enterprise Architecture -- Data Governance -- Risk Management -- Operating Model Design -- Supply Chain Management -- Customer Experience -- Process Inventory Powers Operational Excellence -- Key Takeaways -- Chapter 5: Transforming the Change Process -- What You Will Learn -- BBC Digital Media Initiative Transformation Failure -- Defining Change -- Challenges in Executing Change -- A Vision for Change Fueled by Process Inventory -- The Change Initiative Process -- Develop Strategic Plans -- Perform Analysis -- Define the Vision -- Defining Action Plans -- Portfolio Planning Process -- Identify Initiative -- Develop Business Cases -- Evaluation and Selection -- Requirements -- Waterfall Business Requirements -- Agile User Stories -- Top Challenges in Creating High-Quality Requirements -- Benefits of Documenting Requirements After Processes -- Risk and Compliance Requirements -- Testing -- Benefits of Aligning Test Script to Process -- Organizational Change Management -- Assess Organization…”

Tabla de Contenidos: “…Reporting: IBM Content Manager user interface -- 6.1 IBM Content Manager OnDemand user interfaces -- 6.2 Using the OnDemand client program -- 6.2.1 Starting the IBM OnDemand Interface (GUI) -- 6.2.2 Updating server information -- 6.2.3 Opening folders -- 6.2.4 Searching for documents -- 6.2.5 Search with wildcards -- 6.2.6 Searching with dates and date ranges -- 6.2.7 Search logical operators -- 6.2.8 Printing selected documents -- 6.2.9 Selecting and viewing documents -- 6.2.10 How to select documents for viewing -- 6.2.11 Saving and recalling successful queries -- 6.2.12 Finding information in documents or notes -- 6.2.13 Adding and viewing notes -- Chapter 7. Administration of the solution -- 7.1 Report administration -- 7.1.1 Storage sets -- 7.1.2 Application groups -- 7.1.3 Applications -- 7.1.4 Folders -- 7.2 User and group administration -- 7.2.1 User types, authorities, and functions -- 7.2.2 OnDemand system parameters -- 7.2.3 Add a user -- 7.2.4 Organizing users into groups…”

Tabla de Contenidos: “…Monitoring and troubleshooting jobs -- Alerts -- Summary -- Chapter 10: Always On High Availability Features -- Installing Windows Server Failover Cluster -- Always On Failover Cluster Instances -- Adding nodes to the SQL Server Failover Cluster -- Initiating a failover -- Always On Availability Groups -- Configuring Always On Availability Groups -- Creating an Availability Group -- Failover and monitoring -- Basic Availability Groups -- Distributed Availability Groups -- Summary -- Chapter 11: In-Memory OLTP - Why and How to Use it -- In-Memory OLTP architecture -- Data storage differences in OLTP -- Request processing differences in OLTP -- Cooperation of disk-based and memory-based parts of SQL Server -- In-Memory OLTP limitations -- Creating In-Memory tables and natively compiled stored procedures -- Preparing for In-Memory OLTP -- Creating In-Memory OLTP objects -- Creating tables with indexes -- Natively compiled stored procedures -- Migrating disk-based objects to In-Memory OLTP -- Monitoring In-Memory OLTP -- In-Memory OLTP usage scenarios -- Assignment of the user story sample -- Example 1 - inserting incoming data into In-Memory tables -- Example 2 - updating data in an In-Memory table -- Example 3 - improving real-time analytics -- Summary -- Chapter 12: Combining SQL Server 2017 with Azure -- Overview of data related technologies in Microsoft Azure -- Understanding Azure SQL database -- Starting with Azure portal -- Creating the Azure SQL database -- Understanding Azure SQL Server -- Creating Azure SQL Server -- Using Azure SQL Server -- Azure SQL Data Warehouse -- Creating Azure SQL Data Warehouse -- Using Azure SQL Data Warehouse -- Microsoft SQL Server 2017 and hybrid scenarios -- StretchDB -- Data files in Azure -- Backups to Azure -- Managed backup to Azure -- Backup to a URL -- Snapshot backups -- Summary -- Index…”

Tabla de Contenidos: “…Choosing a Programming Language -- Making Plumbing Choices -- Reducing Architectural Variables -- Developing an Initial Framework -- Battlespace Preparation -- Framing the API -- Input and Output Signatures -- Defining a Common Signature -- Defining an Outlier -- Sensitivity and Fraction of Anomalies -- Single Solution -- Combined Arms -- Framing the Solution -- Containerizing the Solution -- Conclusion -- Chapter 5: Building a Test Suite -- Tools of the Trade -- Unit Test Library -- Integration Testing -- Writing Testable Code -- Keep Methods Separated -- Emphasize Use Cases -- Functional or Clean: Your Choice -- Creating the Initial Tests -- Unit Tests -- Integration Tests -- Conclusion -- Chapter 6: Implementing the First Methods -- A Motivating Example -- Ensembling As a Technique -- Sequential Ensembling -- Independent Ensembling -- Choosing Between Sequential and Independent Ensembling -- Implementing the First Checks -- Standard Deviations from the Mean -- Median Absolute Deviations from the Median -- Distance from the Interquartile Range -- Completing the run_tests() Function -- Building a Scoreboard -- Weighting Results -- Determining Outliers -- Updating Tests -- Updating Unit Tests -- Updating Integration Tests -- Conclusion -- Chapter 7: Extending the Ensemble -- Adding New Tests -- Checking for Normality -- Approaching Normality -- A Framework for New Tests -- Grubbs' Test for Outliers -- Generalized ESD Test for Outliers -- Dixon's Q Test -- Calling the Tests -- Updating Tests -- Updating Unit Tests -- Updating Integration Tests -- Multi-peaked Data -- A Hidden Assumption -- The Solution: A Sneak Peek -- Conclusion -- Untitled -- Chapter 8: Visualize the Results -- Building a Plan -- What Do We Want to Show? …”

Tabla de Contenidos: “…-- Overview -- Building by Adding Distinctions -- Summary -- Review Questions -- Chapter 13 Solving the CAD/CAM Problem with Patterns -- Overview -- Review of the CAD/CAM Problem -- Thinking in Patterns -- Thinking in Patterns: Step 1 -- Thinking in Patterns: Step 2a…”

Tabla de Contenidos: “…XML Schemas -- XML DB Repository -- XML Indexes -- Summary -- 13 XML DB Backup and Recovery -- Back Up XML DB with RMAN -- Back Up in NOARCHIVE Log Mode -- Back Up in Archive Log Mode -- Importing and Exporting XML with Data Pump -- XMLType Stored as a Table Column -- XMLType Tables -- XML Schema-based XMLType Tables and Columns -- Summary -- 14 XML DB Security and Performance Tuning -- Oracle XML DB Security -- XML DB Repository ACLs -- Setting Up ACL for Network Services Access -- Oracle XML DB Performance Tuning -- Basic XML Processing Performance -- Bulk XML Loading Performance -- XQuery Performance Tuning -- Summary -- PART III BUILDING XML APPLICATIONS -- 15 XML DB Web Services -- Setting Up XML DB Web Services -- Querying Oracle Database with Web Services -- Publishing PL/SQL Functions/Procedures -- Creating PL/SQL Packages and Functions -- Reviewing the WSDL of the PL/SQL Function -- Calling PL/SQL XML DB Web Services in Java -- Summary -- 16 Using Oracle JDeveloper 11g -- Creating the First XML Project -- Creating XML Documents -- Validating XML with XML Schema -- Transforming XML with XSLT -- Running Oracle XML Java Program -- Creating Java Stored Procedures: Basics -- Setting Up Oracle Java Virtual Machine -- Creating the Java Program -- Creating Database Connections -- Deploying Java Stored Procedures -- Creating PL/SQL Specifications -- Running Java Stored Procedures -- Remote Debugging of Java Stored Procedures -- Creating Java Stored Procedures: Advanced Topics -- Summary -- 17 Pulling It All Together -- Creating XML Documents -- Storing XML in XML DB Repository -- Creating an SQL View -- Adding Contact IDs -- Reformatting the Data String -- Publishing XML in APEX -- Creating a Report -- Editing XML -- Displaying XML -- Exporting Contacts -- Integrating with Full-Text Search -- Sending Emails Using Oracle XML DB…”

Tabla de Contenidos: “…Filter out all but the TMIN entries -- Create (station ID, temperature) key/value pairs -- Find minimum temperature by station ID -- Collect and print results -- Running the minimum temperature example and modifying it for maximums -- Examining the min-temperatures script -- Running the script -- Running the maximum temperature by location example -- Counting word occurrences using flatmap() -- Map versus flatmap -- Map () -- Flatmap () -- Code sample - count the words in a book -- Improving the word-count script with regular expressions -- Text normalization -- Examining the use of regular expressions in the word-count script -- Running the code -- Sorting the word count results -- Step 1 - Implement countByValue() the hard way to create a new RDD -- Step 2 - Sort the new RDD -- Examining the script -- Running the code -- Find the total amount spent by customer -- Introducing the problem -- Strategy for solving the problem -- Useful snippets of code -- Check your results and sort them by the total amount spent -- Check your sorted implementation and results against mine -- Summary -- Chapter 3: Advanced Examples of Spark Programs -- Finding the most popular movie -- Examining the popular-movies script -- Getting results -- Using broadcast variables to display movie names instead of ID numbers -- Introducing broadcast variables -- Examining the popular-movies-nicer.py script -- Getting results -- Finding the most popular superhero in a social graph -- Superhero social networks -- Input data format -- Strategy -- Running the script - discover who the most popular superhero is -- Mapping input data to (hero ID, number of co-occurrences) per line -- Adding up co-occurrence by hero ID -- Flipping the (map) RDD to (number, hero ID) -- Using max() and looking up the name of the winner -- Getting results…”

Tabla de Contenidos: “…Array() -- Conceptual Overview of Using Array() Objects -- Array() Parameters -- Array() Properties and Methods -- Array Object Instance Properties and Methods -- Creating Arrays -- Adding and Updating Values in Arrays -- Length versus Index -- Defining Arrays with a Predefined Length -- Setting Array Length can Add or Remove Values -- Arrays Containing Other Arrays (Multidimensional Arrays) -- Looping Over an Array, Backwards and Forwards -- Chapter 10. …”

Tabla de Contenidos: “…Questions to Think About -- 5.3 Solving Linear Inequalities -- Exercises -- 5.4 Compound Inequalities -- Exercises -- Questions to Think About -- 5.5 Word Problems with Inequalities -- Exercises -- Chapter 5 Test -- Chapter 5 Solutions -- Chapter 5 Test Solutions -- Chapter 6 Functions and Graphs with Two Variables -- 6.1 Functions and Function Notation -- Exercises -- Questions to Think About -- 6.2 Introduction to Graphing -- Exercises -- 6.3 Characteristics of Graphs -- Exercises -- Questions to Think About -- 6.4 Evaluating Functions from Equations and Graphs -- Exercises -- Chapter 6 Test -- Chapter 6 Solutions -- Chapter 6 Test Solutions -- Chapter 7 Linear Functions and Their Graphs -- 7.1 Introduction to Linear Functions -- Exercises -- Questions to Think About -- 7.2 Slope Formula -- Exercises -- Questions to Think About -- 7.3 Determining If an Ordered Pair Is a Solution to an Equation -- Exercises -- Questions to Think About -- 7.4 Writing the Equation of a Line -- Exercises -- Questions to Think About -- 7.5 Solving Systems of Linear Equations by Graphing -- Exercises -- Questions to Think About -- 7.6 Solving Systems of Linear Equations by Substitution -- Exercises -- 7.7 Solving Systems of Linear Equations by Elimination -- Exercises -- Questions to Think About -- 7.8 Solving Systems of Linear Inequalities -- Exercises -- Questions to Think About -- 7.9 Word Problems with Systems of Linear Equations and Inequalities -- Exercises -- Chapter 7 Test -- Review Test 1: Chapters 1-7 -- Chapter 7 Solutions -- Chapter 7 Test Solutions -- Review Test 1 Solutions -- Chapter 8 Operations with Polynomials -- 8.1 Adding and Subtracting Polynomials -- Exercises -- Questions to Think About -- 8.2 Multiplying Monomials: Rules of Exponents -- Exercises -- 8.3 Dividing Monomials: Rules of Exponents -- Exercises -- 8.4 Multiplying Polynomials -- Exercises…”

Tabla de Contenidos: “…Assessing data relevance -- Assessing data formatting -- Assessing data normalization, denormalization, and star schemas -- Dimension modeling and star schema -- Denormalized data in dimension tables -- Summary -- Questions -- Chapter 6: Cleaning Data with Query Editor -- Technical requirements -- Understanding the Query Editor interface -- Data cleaning techniques and functions -- Adding columns -- Data type conversions -- Date/time -- Rounding -- Pivot/unpivot columns -- Merge queries -- Using Query Editor versus DAX for transformation -- Power Query Editor -- Data Analysis Expressions (DAX) -- Workflow -- Summary -- Questions -- Further reading -- Chapter 7: Transforming Data with the M Language -- Technical requirements -- Understanding the M language -- Structure of M -- Common use cases of M -- Filtering and sorting data with M -- Transforming data with M -- Working with data sources in M -- Creating parameters and variables -- Summary -- Questions -- Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) -- Understanding EDA -- Exploring data profiling features in Power BI -- Reviewing column quality, distribution, and profile -- Column distribution -- Column quality -- Column profile -- Turning data profiles into high-quality data -- Recommended actions on column distribution -- Value distribution -- Summary -- Questions -- Part 3 - Advanced Data Cleaning and Optimizations -- Chapter 9: Advanced Data Cleaning Techniques -- Technical requirements -- Using Power Query Editor from within Dataflow Gen1 - fuzzy matching and fill down -- Fuzzy matching -- Fill down -- Best practices for using fuzzy matching and fill down -- Using R and Python scripts -- Benefits of using R or Python scripts -- Getting started with using R or Python scripts in Power BI -- Using ML to clean data -- Data cleaning with anomaly detection…”

Tabla de Contenidos: “…. -- Using PVP -- Getting ready -- How to do it... -- Adding flexibility to the rendering pipeline using dynamic rendering -- Getting ready -- How to do it... -- Transferring resources between queue families -- Getting ready -- How to do it... -- Chapter 3: Implementing GPU- Driven Rendering -- Technical requirements -- Implementing GPU-driven line rendering -- Getting ready -- How to do it... -- Expanding line-drawing techniques to render textual values from shaders -- Getting ready -- How to do it... -- Drawing text using SDF -- Getting ready -- How to do it... -- See also -- Frustum culling using compute shaders -- Getting ready -- How to do it... -- How it works... -- Chapter 4: Exploring Techniques for Lighting, Shading, and Shadows -- Technical requirements -- Implementing G-buffer for deferred rendering -- Getting ready -- How to do it... -- Implementing screen space reflections -- Getting ready -- How to do it... -- See also -- Implementing shadow maps for real-time shadows -- Getting ready -- How to do it... -- There's more ... -- See also -- Implementing screen space ambient occlusion -- Getting ready -- How to do it... -- See also -- Implementing a lighting pass for illuminating the scene -- Getting ready -- How to do it... -- Chapter 5: Deciphering Order-Independent Transparency -- Technical requirements -- Implementing Depth-Peeling -- Getting ready -- How to do it... -- Implementing Dual Depth-Peeling -- Getting ready -- How to do it... -- Implementing Linked-List Order-Independent Transparency -- Getting ready -- How to do it... -- There's more... -- See also -- Implementing Weighted Order-Independent Transparency -- Getting ready -- How to do it... -- There's more... -- See also -- Chapter 6: Anti-Aliasing Techniques -- Technical requirements -- Enabling and using Vulkan's MSAA -- Getting ready -- How to do it... -- Applying FXAA…”

Tabla de Contenidos: “…for-each looping to compute a summary value from an array -- for-each looping to locate an array element -- Reproducing map behavior using reduce -- Adding new fields to existing objects in an array -- Rudimentary schema reflection using arrays -- Summary -- Chapter 5: Optimizing Pipelines for Sharded Clusters -- A brief summary of MongoDB sharded clusters -- Sharding implications for pipelines -- Sharded aggregation constraints -- Where does a sharded aggregation run? …”

Tabla de Contenidos: “…-- Let's be manipulative -- Summary -- Exercises -- Resources -- Chapter 3: Intermediate Linux -- Technical requirements -- Globs -- Automating repetitive tasks -- Cron jobs -- Systemd timer -- Software installation -- Debian and Ubuntu -- CentOS, RHEL, and Fedora -- Alpine Linux -- Managing users -- Adding users -- Modifying users -- Removing users -- Managing groups -- Secure Shell (SSH) protocol -- Configuring OpenSSH -- Creating and managing SSH keys -- Summary -- Exercises -- Chapter 4: Automating with Shell Scripts -- Technical requirements -- Backing up a database -- Understanding scripting -- Understanding Bash built-ins and grammar -- Variables -- Parameters -- Loops -- Conditional execution - if statement -- Understanding the backup script - first steps -- Handling errors and debugging -- Summary -- Exercises -- Part 2: Your Day-to-Day DevOps Tools -- Chapter 5: Managing Services in Linux -- Technical requirements -- Understanding Linux services in detail -- The history of Linux service management -- systemd -- OpenRC -- SysV init…”

Tabla de Contenidos: “…-- DuckDB deployment options and installation -- DuckDB deployment options -- Installing the DuckDB CLI -- Starting the DuckDB CLI -- Working with the DuckDB CLI -- A short SQL primer -- Creating your first DuckDB table -- Running your first DuckDB query -- Summary -- Chapter 2: Loading Data into DuckDB -- Technical requirements -- Loading CSV files -- The COPY statement -- COPY statement options -- Error handling with CSV reading -- File loading with read_csv -- Table creation with read_csv -- Date formats -- When to use COPY versus read_csv -- Loading multiple files -- Mixed schemas -- Loading JSON files -- JSON Lines - Newline Delimited JSON -- JSON array objects -- Working with Parquet files -- Exploring public datasets -- Bike-share station readings -- Loading the bike station readings -- Specifying date load formats -- Summarizing the bike station readings -- Exporting data -- Exporting a table into a CSV file -- Exporting JSON data -- Exporting Parquet with Hive partitioning -- Summary -- Chapter 3: Data Manipulation with DuckDB -- Technical requirements -- Data wrangling with DuckDB - cleaning and reshaping data -- Data import and manipulation -- Regular expressions -- The regexp_extract function -- Using regular expressions for text extraction -- Altering tables and creating views -- Converting strings to dates -- Adding a new column -- Creating a language lookup table -- Joining tables with DuckDB -- Creating a view -- Scripting SQL steps -- Aggregate functions and common table expressions -- Aggregate functions -- Bucketing dates…”

Tabla de Contenidos: “…-- The OTel project -- OTel -- Summary -- Chapter 12: Distributing Your Apps -- Technical requirements -- Go Modules -- The routine using modules -- CI -- Caching -- Static analysis -- Releasing your application -- Summary -- Part 5: Going Beyond -- Chapter 13: Capstone Project - Distributed Cache -- Technical requirements -- Understanding distributed caching -- System requirements -- Requirements -- Design and trade-offs -- Creating the project -- Thread safety -- Choosing the right approach -- Adding thread safety -- The interface -- TCP -- HTTP -- Others -- Eviction policies -- Sharding -- Summary -- Chapter 14: Effective Coding Practices -- Technical requirements -- Reusing resources -- Using sync.Pool in a network server -- Using sync.Pool for JSON marshaling -- Executing tasks once -- singleflight -- Effective memory mapping -- API usage -- Advanced usage with protection and mapping flags -- Avoiding common performance pitfalls -- Leaking with time.After -- Defer in for loops -- Maps management -- Resource management -- Handling HTTP bodies -- Channel mismanagement -- Summary -- Chapter 15: Stay Sharp with System Programming -- Real-world applications -- Dropbox's leap of faith…”

Tabla de Contenidos: “…Cover -- Title page -- Copyright and Credits -- Contributors -- Table of Contents -- Preface -- Part 1: Recent Developments in the Field, Installations, and Hello World Applications -- Chapter 1: From Bag-of-Words to the Transformers -- Evolution of NLP approaches -- Recalling traditional NLP approaches -- Language modeling and generation -- Leveraging DL -- Considering the word order with RNN models -- LSTMs and gated recurrent units -- Contextual word embeddings and TL -- Overview of the Transformer architecture -- Attention mechanism -- Multi-head attention mechanisms -- Using TL with Transformers -- Multimodal learning -- Summary -- References -- Chapter 2: A Hands-On Introduction to the Subject -- Technical requirements -- Installing transformer with Anaconda -- Installation on Linux -- Installation on Windows -- Installation on macOS -- Installing TensorFlow, PyTorch, and Transformer -- Installing and using Google Colab -- Working with language models and tokenizers -- Working with community-provided models -- Working with multimodal transformers -- Working with benchmarks and datasets -- Important benchmarks -- GLUE benchmark -- SuperGLUE benchmark -- XTREME benchmark -- XGLUE benchmark -- SQuAD benchmark -- Accessing the datasets with an application programming interface -- Data manipulation using the datasets library -- Sorting, indexing, and shuffling -- Caching and reusability -- Dataset filter and map function -- Processing data with the map function -- Working with local files -- Preparing a dataset for model training -- Benchmarking for speed and memory -- Summary -- Part 2: Transformer Models: From Autoencoders to Autoregressive Models -- Chapter 3: Autoencoding Language Models -- Technical requirements -- BERT - one of the autoencoding language models -- BERT language model pretraining tasks…”

Tabla de Contenidos: “…Privacy-enhancing technologies -- Differential privacy -- Federated learning -- Secure multi-party computation (SMC) -- Homomorphic encryption -- Anonymization -- De-identification -- Differential privacy -- Summary -- Chapter 4: Overview of Differential Privacy Algorithms and Applications of Differential Privacy -- Differential privacy algorithms -- Laplace distribution -- Gaussian distribution -- Comparison of noise-adding algorithms to apply differential privacy -- Generating aggregates using differential privacy -- Sensitivity -- Queries that use differential privacy -- Clipping -- Overview of real-life applications of differential privacy -- Differential privacy usage at Uber -- Differential privacy usage at Apple -- Differential privacy usage in the US Census -- Differential privacy at Google -- Summary -- Chapter 5: Developing Applications with Differential Privacy Using Open Source Frameworks -- Open source frameworks to implement differential privacy -- Introduction to the PyDP framework and its key features -- Examples and demonstrations of PyDP in action -- Developing a sample banking application with PyDP to showcase differential privacy techniques -- Protecting against membership inference attacks -- Applying differential privacy to large datasets -- Use case - generating differentially private aggregates on a large dataset -- PipelineDP high-level architecture -- Tumult Analytics -- Machine learning using differential privacy -- Synthetic Dataset Generation: Introducing Fraudulent Transactions -- Develop a classification model using scikit-learn -- High-level implementation of the SGD algorithm -- Applying differential privacy options using machine learning -- Generating gradients using differential privacy -- Clustering using differential privacy -- Deep learning using differential privacy -- Fraud detection model using PyTorch…”

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Tabla de Contenidos: “…16.1.2 Primer contacto -- 16.1.3 Añadir una propiedad -- 16.1.4 Añadir usuarios gestores -- 16.1.5 Trabajar con los datos de una web -- 16.2 GOOGLE ANALYTICS -- 16.2.1 Acceder a la cuenta -- 16.2.2 Añadir nuevo sitio a Google Analytics -- 16.2.3 Eliminar sitio de Google Analytics -- 16.2.4 Ver datos estadísticos de un sitio añadido a Google Analytics -- 16.3 GOOGLE ADSENSE -- 16.3.1 Usar Google AdSense -- 17 GOOGLE ADWORDS (...) -- 17.1 ACCESO A GOOGLE ADWORDS -- 17.2 CONCEPTOS PREVIOS -- 17.3 CONSEJOS PREVIOS -- 17.4 COMENZAR A USAR GOOGLE ADWORDS -- 17.5 PÁGINA PRINCIPAL DE GOOGLE ADWORDS -- 17.6 CAMPAÑAS -- 17.7 OPORTUNIDADES -- 17.8 INFORMES -- 17.9 HERRAMIENTAS -- 17.9.1 Historial de cambios -- 17.9.2 Conversiones -- 17.9.3 Atribuciones -- 17.9.4 Google Merchant Center -- 17.9.5 Planificador de palabras clave -- 17.9.6 Diagnóstico y vista previa de anuncio -- ÍNDICE ALFABÉTICO…”