Tabla de Contenidos: “…-- Not all Customization Is equal -- Technology Accelerates Mass Customization -- Customization of Standardized Products and Services -- Value Streams -- Culture rules -- Summary -- Food for Thought -- Glossary -- Part III Measuring and Managing to Build Customer Value -- Chapter 11 Optimizing around the Customer: Measuring the Success of Customer-Based Initiatives and the Customer-Centric Organization -- Customer Equity -- Customer Loyalty and Customer Equity -- Return on Customer -- Leading Indicators of LTV Change -- Lifetime Value Drivers -- Lifestyle Changes -- Behavioral Cues -- Customer Attitudes -- Stats and the Single Customer -- Summary -- Food for Thought -- Glossary -- Chapter 12 Using Customer Analyticsto Build the Success of the Customer-Strategy Enterprise -- Summary…”

Tabla de Contenidos: “…Encapsulation -- Inheritance and composition -- Abstraction -- Polymorphism -- Functions as objects -- Understanding classes in Dart -- Class structure -- Constructors -- Class inheritance -- Abstract classes -- Interfaces -- Mixins -- Files and imports -- The enum type -- Using generics -- When and why to use generics -- Asynchronous programming -- Dart Futures -- Dart Isolates -- Summary -- Section 2: The Flutter User Interface - Everything Is a Widget -- Chapter 5: Widgets - Building Layouts in Flutter -- Technical requirements -- Stateful/stateless widgets -- Stateless widgets -- Stateful widgets -- Inherited widgets -- The widget key property -- Built-in widgets -- Basic widgets -- Material Design and iOS Cupertino widgets -- Layouts -- Streams -- Summary -- Chapter 6: Handling User Input and Gestures -- Technical requirements -- Handling user gestures -- Pointers -- Gestures -- GestureDetector -- Gestures in material widgets -- A deeper look at the stateful widget life cycle -- Key life cycle states -- Mounted -- Input widgets and forms -- Getting input through a controller -- FormField and TextField -- Accessing the FormField widget's state -- Form -- Custom input and FormField widgets -- Creating custom inputs -- Custom input widget example -- Summary -- Chapter 7: Routing - Navigating between Screens -- Technical requirements -- Understanding the Navigator widget -- Navigator 1.0 and 2.0 -- Navigator -- Navigator 1.0 -- Navigator 2.0 -- Screen transitions -- PageRouteBuilder -- Custom transitions in practice -- Passing data between screens -- Passing state in widget parameters -- InheritedWidget -- BLoC -- Redux -- Other options -- Summary -- Section 3: Developing Fully Featured Apps -- Chapter 8: Plugins - What Are They and How Do I Use Them? …”

Tabla de Contenidos: “…Menu Reference -- Safety Menu -- Obstacle Avoidance Action (Mini 3 Pro Only) -- Disable Sideways Flight (Mini 3 Pro Only) -- Display Radar Map (Mini 3 Pro Only) -- Max Altitude/Max Distance -- Auto RTH Altitude -- Update Home Point -- Compass Calibration -- IMU Normal -- Battery Info -- Unlock GEO Zone -- Find My Drone -- Advanced Safety Settings -- Control Menu -- Units -- Subject Scanning (Mini 3 Pro Only) -- Gain &amp -- Expo Tuning -- Gimbal Mode -- Gimbal Calibration -- Recenter Gimbal -- Stick Mode -- Button Customization -- RC Calibration -- Flight Tutorial -- Re-pair to Aircraft (Link) -- Camera Menu -- Format (Mini 3 Pro Only) -- Aspect Ratio (Mini 3 Pro Only) -- Anti-Flicker (Mini 3 Pro Only) -- Histogram/Peaking Level/Overexposure Warning -- Gridlines -- White Balance -- Style (Mini 3 Pro Only) -- Format -- USB Mode (Mini 3 Pro Only) -- Auto Sync HD Photos (Mini 3 Only) -- Cache When Recording -- Max Video Cache Capacity -- Reset Camera Parameters -- Transmission Menu -- Live-Streaming Platforms -- HDMI Output (Mini 3 Pro Only) -- Frequency/Channel Mode -- About Menu -- DJI Fly Main Screen -- Next Up -- Index…”

Tabla de Contenidos: “…Cross-platform Development - Build Once, Deploy Anywhere -- The demo application - how the projects work together -- Backends -- LWJGL (Lightweight Java Game Library) -- Android -- WebGL -- Modules -- The application module -- Logging -- Shutting down gracefully -- Persisting data -- Querying the Android API Level -- Querying the platform type -- Querying memory usage -- Graphics module -- Querying delta time -- Querying display size -- Querying the FPS (frames per second) counter -- Audio module -- Sound playback -- Music streaming -- Input module -- Reading the keyboard/touch/mouse input -- Reading the accelerometer -- Starting and canceling vibrator -- Catching Android soft keys -- The files module -- Getting an internal file handle…”

Tabla de Contenidos: “…Cover -- Praise for Extreme Money -- Extreme Money -- Contents -- Figures and tables -- Prologue: Hubris -- Sub-prime dialects -- Best in show -- The Physical Impossibility of Death in theMind of Someone Living -- Retreat -- Swiss inquisitions -- Idea of an investment -- Ambush -- Mega presentations -- Fording streams -- Liquidity and leverage -- Democracy of greed -- Pick and pay -- Black Sea real estate -- Life on the margin -- Racing days -- Dr Doom -- Extreme money -- Part 1: Faith -- Mirror of the times -- Some kinda money -- Trading places -- The invention of money -- Barbarous relic -- The real thing -- The Hotel New Hampshire -- Collapse -- Money machines -- Debt clock -- Money is nothing -- The mirrored room -- Money changes everything -- Mrs Watanabe goes to Wall Street -- FX Beauties Club -- Plutonomy -- Trickling down, trading up -- I shop, therefore I must be! …”

Tabla de Contenidos: “…-- Improvements in EE 8 -- Overview of Java SE 8 -- Lambdas, streams, and default methods -- CDI 2.0 -- JSON Processing 1.1 -- Working with JSON documents -- JSON Processing API -- JSON Binding 1.0 -- JAXRS 2.1 -- Servlet 4.0 -- Server Push -- JSF 2.3 -- Bean Validation 2.0 -- Java EE Security API 1.0 -- Summary -- Chapter 2: The CDI Advantage Combined with JPA -- Introduction to context and dependency injection -- CDI programming model -- CDI for Java SE 8 -- RequestContext Activation -- Enhancing events -- Asynchronous events -- Ordered events -- Annotation literals -- Java Persistence API (JPA) -- Entities -- Performing CRUD operations with entities -- Entity listeners -- Validations the entity -- Summary -- Chapter 3: Understanding Microservices -- Traditional monoliths -- Need for delivering new features quicker -- Team size and dependency -- Multiple small units of work -- Smaller code base -- Coding practices -- Follow domain-driven design -- Document it -- Build for failure -- Infrastructure tooling as part of code -- Single responsibility -- The need for REST -- Scale only what needs to scale -- The bad parts, yes, there are a few -- Summary -- Chapter 4: Building and Deploying Microservices -- Fat JAR -- Fat JAR approach -- Skinny WAR -- Examples using Payara Micro -- Building our services -- Running our services -- MicroProfile -- Java EE already has support -- WildFly Swarm -- Spring Cloud -- Docker containers -- Working with distributed teams -- Building custom images -- Running multiple containers -- Fat JAR or Skinny WAR with Docker -- The choice -- Summary -- Chapter 5: Java EE Becomes JSON Friendly -- REST prefers JSON -- JSON, a first-class citizen -- JSON in databases…”

Tabla de Contenidos: “…Chapter 8: Ensembling on Big Data -- Ensembling -- Types of ensembling -- Bagging -- Boosting -- Advantages and disadvantages of ensembling -- Random forests -- Gradient boosted trees (GBTs) -- Classification problem and dataset used -- Data exploration -- Training and testing our random forest model -- Training and testing our gradient boosted tree model -- Summary -- Chapter 9: Recommendation Systems -- Recommendation systems and their types -- Content-based recommendation systems -- Dataset -- Content-based recommender on MovieLens dataset -- Collaborative recommendation systems -- Advantages -- Disadvantages -- Alternating least square - collaborative filtering -- Summary -- Chapter 10: Clustering and Customer Segmentation on Big Data -- Clustering -- Types of clustering -- Hierarchical clustering -- K-means clustering -- Bisecting k-means clustering -- Customer segmentation -- Dataset -- Data exploration -- Clustering for customer segmentation -- Changing the clustering algorithm -- Summary -- Chapter 11: Massive Graphs on Big Data -- Refresher on graphs -- Representing graphs -- Common terminology on graphs -- Common algorithms on graphs -- Plotting graphs -- Massive graphs on big data -- Graph analytics -- GraphFrames -- Building a graph using GraphFrames -- Graph analytics on airports and their flights -- Datasets -- Graph analytics on flights data -- Summary -- Chapter 12: Real-Time Analytics on Big Data -- Real-time analytics -- Big data stack for real-time analytics -- Real-time SQL queries on big data -- Real-time data ingestion and storage -- Real-time data processing -- Real-time SQL queries using Impala -- Flight delay analysis using Impala -- Apache Kafka -- Spark Streaming -- Trending videos -- Summary -- Chapter 13: Deep Learning Using Big Data -- Introduction to neural networks -- Perceptron -- Problems with perceptrons…”

Tabla de Contenidos: “…Government Response to Ultra-Processed and Sugar Beverages Industries in Developing Nations: The Need to Build Coalitions across Policy Sectors -- 6.1 Introduction -- 6.2 The Politics of Policy of the Food Sector: Multiple Streams Analysis and Future Insights -- 6.3 Contrasting Global Attention and Support for NCD Policies -- 6.4 Conclusion -- References -- 7. …”

Tabla de Contenidos: “…-- Chapter 4: The TCS Project -- TCS Organization and Test Automation History -- New Roadmap, New Challenges -- NIS Project Introduction -- Test Automation Stream, NISTA Setup -- Chapter 5: How Boozang Was Born -- Part II: Boozang Main Concepts and Use Cases -- Chapter 6: Starting Up with Boozang -- Creating Your First Project -- Where Are Your Data Stored? …”

Tabla de Contenidos: “…16.1.2 Non-Value-Added Waste #2: Waiting -- 16.1.3 Non-Value-Added Waste #3: Over-Transportation -- 16.1.4 Non-Value-Added Waste #4: Overprocessing -- 16.1.5 Non-Value-Added Waste #5: Excess Inventory -- 16.1.6 Non-Value-Added Waste #6: Waste of Excess Motion -- 16.1.7 Non-Value-Added Waste #7: Process Defects -- 16.1.8 Non-Value-Added Waste #8: Underutilized Human Capital Potential -- 16.1.9 Non-Value-Added Waste #9: Material Underutilization -- 17 The Drum-Buffer-Rope -- 17.1 Critical Path Method -- 17.2 Critical Chain Project Management -- Part 6 TLS Continuum Implementation -- 18 TLS Continuum Manifesto -- 18.1 Introduction -- 18.2 Purpose -- 19 Implementation Purpose -- 20 The Voice of the Customer Pillar -- 20.1 Core Services -- 20.2 Services Bundle -- 20.3 Enhanced Need Set -- 20.4 Value Stream -- 20.4.1 Stakeholder vs. Shareholder? -- 20.4.2 SIPOC -- 20.4.3 How Do We Measure the Voice of the Customer? …”

Tabla de Contenidos: “…. -- 11.4.9 Capturing the full visualization -- Feeding the chart with data -- Multipage reports -- Debugging code in the headless browser -- Making it work on a Linux server -- 11.5 You can do much more with a headless browser -- 11.5.1 Web scraping -- 11.5.2 Other uses -- Summary -- Chapter 12: Live data -- 12.1 We need an early warning system -- 12.2 Getting the code and data -- 12.3 Dealing with live data -- 12.4 Building a system for monitoring air quality -- 12.5 Set up for development -- 12.6 Live-streaming data -- 12.6.1 HTTP POST for infrequent data submission -- 12.6.2 Sockets for high-frequency data submission -- 12.7 Refactor for configuration -- 12.8 Data capture -- 12.9 An event-based architecture -- Code restructure for event handling -- 12.10.1 Triggering SMS alerts -- 12.10.2 Automatically generating a daily report -- Live data processing -- Live visualization -- Summary -- Chapter 13: Advanced visualization with D3 -- 13.1 Advanced visualization -- 13.2 Getting the code and data -- 13.3 Visualizing space junk -- 13.4 What is D3? …”

Tabla de Contenidos: “…12.1 ANUNCIOS CON SÚPER FILTROS -- 12.2 PALABRAS CLAVE DE ALTA CONVERSIÓN -- 12.3 FLYERS 3.0 -- 12.4 REMARKETING ESPÍA -- 12.5 CAMPO DE MINAS -- 12.6 SEO INTELIGENTE -- 12.7 DAVID Y GOLIAT -- 12.8 PEEL &amp -- STICK -- 12.9 INCLUYE A TU COMPETENCIA EN TU LANDING -- 12.10 AUTOMATIZACIONES EN ADWORDS -- 13 ANUNCIOS DE VÍDEO EN YOUTUBE -- 13.1 TIPOS DE ANUNCIO DE VÍDEO -- 13.1.1 TrueView In-Stream -- 13.1.2 TrueView In-Display -- 13.2 VAMOS A CREAR UNA CAMPAÑA TRUEVIEW -- 13.2.1 Anuncio de vídeo In-Display -- 13.2.2 Anuncio de vídeo In-Stream -- ANEXO I -- ÍNDICE ALFABÉTICO…”

Tabla de Contenidos: “…Streamlines and streaklines 3.3.2 ... Streamtubes, stream surfaces, and the stream function 3.3.3 ... …”

Tabla de Contenidos: “…Setting up using AWS -- The difference between downloadable DynamoDB and DynamoDB web services -- DynamoDB data types and terminology -- Tables, items, and attributes -- Primary key -- Secondary indexes -- Streams -- Queries -- Scan -- Data types -- Data models and CRUD operations in DynamoDB -- Limitations of DynamoDB -- Best practices -- Summary -- Chapter 8: InfluxDB -- Introduction to InfluxDB -- Key concepts and terms of InfluxDB -- Data model and storage engine -- Storage engine -- Installation and configuration -- Installing InfluxDB -- Configuring InfluxDB -- Production deployment considerations -- Query language and API -- Query language -- Query pagination -- Query performance optimizations -- Interaction via Rest API -- InfluxDB API client -- InfluxDB with Java client -- InfluxDB with a Python client -- InfluxDB with Go client -- InfluxDB ecosystem -- Telegraf -- Telegraf data management -- Kapacitor -- InfluxDB operations -- Backup and restore -- Backups -- Restore -- Clustering and HA -- Retention policy -- Monitoring -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…. -- See also -- Using Streams -- How to do it... -- How it works... -- Using Sinks -- How to do it…”

Tabla de Contenidos: “…Summary -- Chapter 7: Composite Types -- The array type -- Array initialization -- Declaring named array types -- Using arrays -- Array length and capacity -- Array traversal -- Array as parameters -- The slice type -- Slice initialization -- Slice representation -- Slicing -- Slicing a slice -- Slicing an array -- Slice expressions with capacity -- Making a slice -- Using slices -- Slices as parameters -- Length and capacity -- Appending to slices -- Copying slices -- Strings as slices -- The map type -- Map initialization -- Making Maps -- Using maps -- Map traversal -- Map functions -- Maps as parameters -- The struct type -- Accessing struct fields -- Struct initialization -- Declaring named struct types -- The anonymous field -- Promoted fields -- Structs as parameters -- Field tags -- Summary -- Chapter 8: Methods, Interfaces, and Objects -- Go methods -- Value and pointer receivers -- Objects in Go -- The struct as object -- Object composition -- Field and method promotion -- The constructor function -- The interface type -- Implementing an interface -- Subtyping with Go interfaces -- Implementing multiple interfaces -- Interface embedding -- The empty interface type -- Type assertion -- Summary -- Chapter 9: Concurrency -- Goroutines -- The go statement -- Goroutine scheduling -- Channels -- The Channel type -- The send and receive operations -- Unbuffered channel -- Buffered channel -- Unidirectional channels -- Channel length and capacity -- Closing a channel -- Writing concurrent programs -- Synchronization -- Streaming data -- Using for...range to receive data -- Generator functions -- Selecting from multiple channels -- Channel timeout -- The sync package -- Synchronizing with mutex locks -- Synchronizing access to composite values -- Concurrency barriers with sync.WaitGroup -- Detecting race conditions -- Parallelism in Go -- Summary…”

Tabla de Contenidos: “…Visualizing the goodness of fit -- Computing MSE and median absolute error -- Evaluating clusters with the mean silhouette coefficient -- Comparing results with a dummy classifier -- Determining MAPE and MPE -- Comparing with a dummy regressor -- Calculating the mean absolute error and the residual sum of squares -- Examining the kappa of classification -- Taking a look at the Matthews correlation coefficient -- Chapter 11: Analyzing Images -- Introduction -- Setting up OpenCV -- Applying Scale-Invariant Feature Transform (SIFT) -- Detecting features with SURF -- Quantizing colors -- Denoising images -- Extracting patches from an image -- Detecting faces with Haar cascades -- Searching for bright stars -- Extracting metadata from images -- Extracting texture features from images -- Applying hierarchical clustering on images -- Segmenting images with spectral clustering -- Chapter 12: Parallelism and Performance -- Introduction -- Just-in-time compiling with Numba -- Speeding up numerical expressions with Numexpr -- Running multiple threads with the threading module -- Launching multiple tasks with the concurrent.futures module -- Accessing resources asynchronously with the asyncio module -- Distributed processing with execnet -- Profiling memory usage -- Calculating the mean, variance, skewness, and kurtosis on the fly -- Caching with a least recently used cache -- Caching HTTP requests -- Streaming counting with the Count-min sketch -- Harnessing the power of the GPU with OpenCL -- Appendix A: Glossary -- Appendix B: Function Reference -- IPython -- Matplotlib -- NumPy -- pandas -- Scikit-learn -- SciPy -- Seaborn -- Statsmodels -- Appendix C: Online Resources -- IPython notebooks and open data -- Mathematics and statistics -- Appendix D: Tips and Tricks for Command-Line and Miscellaneous Tools -- IPython notebooks -- Command-line tools…”

Tabla de Contenidos: “…XOR Encryption -- Random Number Generators -- Symmetric Key Cryptography -- Block Ciphers -- Block Cipher Modes -- Block Cipher Padding -- Padding Oracle Attack -- Stream Ciphers -- Asymmetric Key Cryptography -- RSA Algorithm -- RSA Padding -- Diffie-Hellman Key Exchange -- Signature Algorithms -- Cryptographic Hashing Algorithms -- Asymmetric Signature Algorithms -- Message Authentication Codes -- Public Key Infrastructure -- X.509 Certificates -- Verifying a Certificate Chain -- Case Study: Transport Layer Security -- The TLS Handshake -- Initial Negotiation -- Endpoint Authentication -- Establishing Encryption -- Meeting Security Requirements -- Final Words -- Chapter 8: Implementing the Network Protocol -- Replaying Existing Captured Network Traffic -- Capturing Traffic with Netcat -- Using Python to Resend Captured UDP Traffic -- Repurposing Our Analysis Proxy -- Repurposing Existing Executable Code -- Repurposing Code in .NET Applications -- Repurposing Code in Java Applications -- Unmanaged Executables -- Encryption and Dealing with TLS -- Learning About the Encryption In Use -- Decrypting the TLS Traffic -- Final Words -- Chapter 9: The Root Causes of Vulnerabilities -- Vulnerability Classes -- Remote Code Execution -- Denial-of-Service -- Information Disclosure -- Authentication Bypass -- Authorization Bypass -- Memory Corruption Vulnerabilities -- Memory-Safe vs. …”

Tabla de Contenidos: “…Creating a Data Explorer pool using the Azure CLI -- Summary -- Chapter 3: Exploring Azure Synapse Studio -- Technical requirements -- Exploring the user interface of Azure Synapse Studio -- Running your first query -- Creating a database -- Loading the data -- Verifying whether your data has loaded successfully -- Working with data in Azure Synapse notebooks -- Saving your work and configuring source control -- Managing and monitoring Data Explorer pools -- Scaling Data Explorer pools -- Pausing and resuming pools -- Monitoring Data Explorer pools -- Summary -- Chapter 4: Real-World Usage Scenarios -- Technical requirements -- Building a multi-purpose end-to-end analytics environment -- Sources -- Ingest -- Store -- Process -- Enrich -- Serve -- User -- Summary -- Managing IoT data -- Processing and analyzing geospatial data -- Enabling real-time analytics with big data -- Performing time series analytics -- Summary -- Part 2: Working with Data -- Chapter 5: Ingesting Data into Data Explorer Pools -- Technical requirements -- Understanding the data loading process -- Defining a retention policy -- Choosing a data load strategy -- Streaming ingestion -- Batching ingestion -- Performing data ingestion -- Using KQL control commands -- Building an Azure Synapse pipeline -- Implementing continuous ingestion -- Using other data ingestion mechanisms -- Summary -- Chapter 6: Data Analysis and Exploration with KQL and Python -- Technical requirements -- Analyzing data with KQL -- Selecting data -- Working with calculated columns -- Plotting charts -- Obtaining percentiles -- Creating a time series -- Detecting outliers -- Using linear regression -- Exploring Data Explorer pool data with Python -- Creating an Apache Spark pool -- Working with Azure Synapse notebooks -- Reading data from Data Explorer pools -- Plotting charts…”

Tabla de Contenidos: “…Penetration testing -- Summary -- References -- Chapter 8: Securing the Software Supply Chain -- Software supply chain and distributed development -- Overview of the software supply chain -- RASIC, vendor security assessments, and CIADs -- RASIC -- Vendor security assessments -- CIADs -- Managing risks with OSS -- Security vulnerabilities -- License compliance -- Operational risk -- SBOM -- SBOM formats -- Executive Order 14028 -- NTIA -- OpenChain -- Secure software supply chain risk management -- Identifying the risks -- Assessing the risks -- Mitigating the risks -- Summary -- References -- Part 4: Automotive IoT Application Life Cycle -- Chapter 9: System Design of an Automotive IoT Application -- System design process overview -- UXDD -- Use case - remote diagnostics -- System components -- Vehicle telematics gateway -- Vehicle cloud platform -- End-user mobile device -- Gateway design considerations -- GNSS receivers -- Wireless communication -- Wired communication -- CAN -- Sensors -- SIM/eSIM -- Gateway hardware -- Cloud design considerations -- Device management -- Connectivity management -- Remote diagnostics applications -- Classic vehicle ECU diagnostics -- Service-oriented vehicle diagnostics -- Regulatory compliance -- Build versus buy -- Summary -- References -- Chapter 10: Developing an Automotive IoT Application -- Cloud backend deployment and service models -- Deployment models -- Service models -- Server-based and serverless computing -- IoT application architecture -- Cloud device gateway -- Edge computing -- Stream processing -- Device management -- OTA solutions -- Telemetry datastore -- Rule engine -- Application Programming Interface (API) gateway -- Connectivity management -- IAM -- Vehicle telematics gateway -- Remote diagnostics application -- Predictive maintenance -- Development process -- Summary -- References…”