Tabla de Contenidos:

Tabla de Contenidos: “…-- 9.4 Scenario Planning -- 9.5 Risk, Responsibility, and Reassurance -- 9.6 Optimization and Upsell -- 9.7 Value Creation/Agility -- 9.8 Expectation Management -- Chapter 10 Multicast -- the Sleeping Giant -- 10.1 Multicast Recap -- 10.1.1 Basics -- 10.1.2 Routing Protocols -- 10.1.3 Flood, Prune, Storms, and a Bad Taste -- 10.1.4 Commercial Outcome -- 10.2 What Happens Now? -- 10.3 To Singularity and Beyond -- Chapter 11 Deep-Dives (Case Studies) -- 11.1 Hitting the TV Screen -- IPTV/Hybrid TV and OTT -- 11.1.1 The Taxonomy of OTT Video -- 11.1.2 Arqiva Connect and Freeview Plus -- 11.2 Creating Nasdaq's Cloud-Based Virtual Workflow -- 11.2.1 The Genesis of a Virtual Workflow -- 11.2.2 The Technology Behind the Workflow -- 11.2.3 Why Amazon EC2? …”

Tabla de Contenidos: “…-- Determining Where the Data Went -- LNK Files -- Shellbags -- Scenario: Recovering Log Files to Catch a Thief -- Chapter 14: Internal Leaks -- Why Internal Leaks Happen…”

Tabla de Contenidos: “…-- Summary -- Chapter 13: Injectable Devices -- A deeper look into USB -- A possible threat -- An evil USB -- How does the Rubber Ducky work? …”

Tabla de Contenidos: “…-- Deployment - what happens after the workstation? -- Testing and troubleshooting -- Refreshing - the ethics of how often we update our models -- Summary -- Additional resources -- References -- Chapter 3: Machine Learning and Deep Learning Deep Dive -- The old - exploring ML -- The new - exploring DL -- Invisible influences -- A brief history of DL -- Types of neural networks…”

Tabla de Contenidos: “…-- 2.8 Format and scope of the input dataset -- 2.9 The destination: An end-to-end solution -- 2.10 More details on the code that makes up the solutions -- 2.11 Development environments: Vanilla vs. deep-learning-enabled -- 2.12 A deeper look at the objections to deep learning -- 2.13 How deep learning has become more accessible -- 2.14 A first taste of training a deep learning model -- Summary -- 3 Preparing the data, part 1: Exploring and cleansing the data -- 3.1 Code for exploring and cleansing the data -- 3.2 Using config files with Python -- 3.3 Ingesting XLS files into a Pandas dataframe -- 3.4 Using pickle to save your Pandas dataframe from one session to another -- 3.5 Exploring the data…”

Tabla de Contenidos: “…Chapter 13: Desktop Graphical User Interface Coding with Swing and JavaFX -- Technical requirements -- A brief history of Java GUIs -- Financial calculator program design -- Internationalization - i18n -- Using the Swing GUI framework -- Jframe -- Jpanel -- Event handlers -- Document filter -- Pattern matching with regular expressions -- Controls and panels -- Using the JavaFX GUI framework -- Application -- PrimaryStage -- Pane -- Scene -- CSS style sheets -- JavaFX bean -- BigDecimalTextField -- Controls -- Binding -- Summary -- Further reading -- Chapter 14: Server-Side Coding with Jakarta -- Technical requirements -- Understanding the role of the Java application server -- GlassFish 7.0 -- Configuring a web project with Maven -- Changes to the pom.xml file -- Understanding what a servlet does and how it is coded -- What happens when a servlet is requested? -- How does a servlet access the query string in a request? …”

Tabla de Contenidos: “…Step 2: Always Be Open to New Ideas, Approaches, and Perspectives -- Step 3: Embrace Your Setbacks -- They Make You Stronger -- Step 4: Avoid the Pseudo Experts -- Thinking "Right" Activity -- Chapter 15 Myth: Success Happens Overnight -- Happiness and Success Are Often Built on a Foundation of Setbacks -- Changing Our Perspective: Developing Persistence and Self-Motivation -- Step 1: Make a Decision -- Step 2: Embrace the Ugly Early Phase -- Step 3: Build Motivational Momentum -- Step 4: Create Motivational Accountability -- Step 5: Surround Yourself with a Motivational Mastermind Group -- Thinking "Right" Activity -- Chapter 16 Super Myth: Failure Should Be Avoided -- Changing Our Perspective: Making Failure Our Friend -- Step 1: Fail More Frequently -- Step 2: Fail Faster -- Step 3: Fail Forward -- Step 4: Say Farewell to Your Failures -- Thinking "Right" Activity -- Chapter 17 Super Myth: Feedback Can Be Negative -- Changing Our Perspective: Making All Feedback Positive (Even the Bad Stuff) -- Thinking "Right" Activity -- Chapter 18 Super Myth: You Should Be Afraid of Fear -- The Changing Role of Fear -- Changing Our Perspective: Becoming Comfortable with Being Uncomfortable -- Step 1: Get to Know Your Unknowns -- Step 2: Take Away Your Downside Risk -- Step 3: Focus More on What You Want Than What You Don't Want -- Thinking "Right" Activity -- Part 4 Finding Your Peace of Mind and Defining the Rebooted You -- Chapter 19 Finding Peace in Your Time -- Find Peace in Your Time -- Where Are You Living? …”

Tabla de Contenidos: “…-- The Two Arcs of Storytelling -- A New Asset Class -- The Story MatrixTM -- Forward Together -- Conclusion -- Author Biography -- Part Seven Data-Driven Marketing -- Chapter 20 Leading with AI and Analytics -- Moneyball: What Really Happened -- Analytics and AI Are Every Leader's Problem-Here's Why -- The AIA Framework for Marketers -- Applying the AIA Framework in Marketing: Propensity Versus Uplift -- Conclusion -- Author Biographies -- Chapter 21 Leveraging Technology to Manage the Customer Experience -- Profitable Growth Through Customer Acquisition, Retention, and Development -- Managing Consumer Relationships and Experiences in the B2C Context -- Managing Customer Relationships and Experiences in the B2B Context -- Conclusion -- Author Biography -- Chapter 22 The Consumer INSIGHT Framework: A Hypothesis-Driven Approach to Data Analytics -- The Need for a Hypothesis Generation Mindset -- Action-Oriented versus Process-Oriented Approaches -- The INSIGHT Framework -- Obtaining and Testing Insight in a Digitally Supersonic World -- Conclusion -- Author Biographies -- Chapter 23 Personalization-Today and Tomorrow -- Tapping the Power of Predictive Analytics -- Delta Airlines: Increasing Customer Lifetime Value -- Auto Mercado: Personalization on a Smaller Scale -- Customer Triggers to Optimize Timing and Content -- The Timely Reminder -- AI for Personalization -- The Connected Strategy -- Conclusion -- Author Biography -- Notes…”

Tabla de Contenidos: “…Chapter 13: Setting Up Cameras -- Technical requirements -- Essentials of cinematic cameras -- How to add cinematic cameras -- Cinematic viewport -- How to aim with cinematic cameras and move them -- Current Camera Settings -- Preparing cameras for shooting -- Advanced functionalities -- Two-point perspective -- 360 stereoscopic cameras -- Ortographic Cameras -- Project - creating your final cameras -- Summary -- Chapter 14: Post-Processing Images -- Technical requirements -- Understanding post-processing in Unreal Engine -- The Post-Process Volume -- PPV versus Post-Process camera -- Discovering post-processing's main functionalities -- Post Process Volume Settings -- Lens -- Film - Tone Mapping -- Color Grading -- Other important features -- Introducing Post Process Materials -- Creating a simple PPM -- Project - fine-tuning your camera views -- Summary -- Chapter 15: Discovering the Sequencer -- Technical requirements -- Discovering the basics of the Sequencer -- Definition -- How to create a sequence -- Sequencer editor interface -- Sequencer for cinematics -- Creating a sequence with linked cameras and spawnable cameras -- Setting the frame rate and length animation -- Animating the camera -- Creating a sequence with shots (master sequences) -- Sequencer for animations -- Example - animating the sun -- Reusing level animation assets -- Summary -- Chapter 16: Rendering the Scene -- Technical requirements -- Setting up the render with the Movie Render Queue -- Project setup -- Launching the MRQ -- The MRQ interface -- Rendering with the MRQ -- The render settings window -- Overview of the main settings -- Rendering a still image -- Rendering an additional passes -- The utility widget -- Summary -- Appendix: Substrate Materials -- Overview -- How it works -- Enabling Substrate Materials -- What happens to legacy Materials? -- Creating new Materials…”

Tabla de Contenidos: “…VERTEIDIGEN -- 5.1 Einleitung: Gerichtstheater als Wettstreit zwischen Anklage und Verteidigung -- 5.2 Der Verteidiger als Figur des Disputs -- 5.2.1 Die Geburt des Verteidigers 1864 als Figur des Politischen -- 5.2.2 Das Problem der Advokatur nach 1917 -- 5.2.3 Agonistisches Gerichtstheater: Streit über Fakten, Gesetz und Schuld -- 5.3 Agon als Transformation: Der Verteidiger als (r)evolutionierende Kraft -- 5.3.1 Milieutheorie und Milde -- 5.3.2 Verbrechen als Krankheit: »Nicht bestrafen, sondern heilen« -- 5.3.3 Einschluss oder Ausschluss: Von »Fehlern« und »Fehlern« -- 5.4 Von der Parodie zum Verteidiger als Verbrecher -- 5.4.1 Den Schädling verteidigen? …”

Tabla de Contenidos: “…-- Pipes in Golang -- The mechanics of anonymous pipes -- Navigating named pipes (Mkfifo()) -- Best practices - guidelines for using pipes -- Efficient data handling -- Error handling and resource management -- Security considerations -- Performance optimization -- Developing a log processing tool -- Summary -- Chapter 7: Unix Sockets -- Introduction to Unix sockets -- Creating a Unix socket -- Going a little deeper into socket creation -- Creating the client -- Inspecting the socket with lsof -- Building a chat server -- The complete chat client -- Serving HTTP under UNIX domain sockets -- Client -- HTTP request line -- HTTP request header -- Empty line signifying end of headers -- The textproto package -- Performance -- Other common use cases -- Summary -- Part 3: Performance -- Chapter 8: Memory Management -- Technical requirements -- Garbage collection -- Stack and heap allocation -- The GC algorithm -- GOGC -- GC pacer -- GODEBUG -- Memory ballast -- GOMEMLIMIT -- Memory arenas -- Using memory arenas -- Summary -- Chapter 9: Analyzing Performance -- Escape analysis -- Stack and pointers -- Pointers -- Stack -- Heap -- How can we analyze? …”

Tabla de Contenidos: “…-- Chapter 2: Importance of Securing Your Desktops -- A desktop at the heart of a user's workspace -- Multiple users on a single desktop -- What happens when a physical desktop is lost or stolen? …”

Tabla de Contenidos: “…5.2 Learning a Task-Speci c Deep Architecture for Clustering -- 5.2.1 Introduction -- 5.2.2 Related Work -- 5.2.2.1 Sparse Coding for Clustering -- 5.2.2.2 Deep Learning for Clustering -- 5.2.3 Model Formulation -- 5.2.3.1 TAGnet: Task-speci c And Graph-regularized Network -- 5.2.3.2 Clustering-Oriented Loss Functions -- 5.2.3.3 Connections to Existing Models -- 5.2.4 A Deeper Look: Hierarchical Clustering by DTAGnet -- 5.2.5 Experiment Results -- 5.2.5.1 Datasets and Measurements -- 5.2.5.2 Experiment Settings -- 5.2.5.3 Comparison Experiments and Analysis -- Bene ts of the Task-speci c Deep Architecture -- Effects of Graph Regularization -- Scalability and Robustness -- 5.2.5.4 Hierarchical Clustering on CMU MultiPIE -- 5.2.6 Conclusion -- References -- 6 Signal Processing -- 6.1 Deeply Optimized Compressive Sensing -- 6.1.1 Background -- 6.1.2 An End-to-End Optimization Model of CS -- 6.1.3 DOCS: Feed-Forward and Jointly Optimized CS -- Complexity -- Related Work -- 6.1.4 Experiments -- Settings -- Simulation -- Reconstruction Error -- Ef ciency -- Experiments on Image Reconstruction -- 6.1.5 Conclusion -- 6.2 Deep Learning for Speech Denoising -- 6.2.1 Introduction -- 6.2.2 Neural Networks for Spectral Denoising -- 6.2.2.1 Network Architecture -- 6.2.2.2 Implementation Details -- Activation Function -- Cost Function -- Training Strategy -- 6.2.2.3 Extracting Denoised Signals -- 6.2.2.4 Dealing with Gain -- 6.2.3 Experimental Results -- 6.2.3.1 Experimental Setup -- 6.2.3.2 Network Structure Analysis -- 6.2.3.3 Analysis of Robustness to Variations -- 6.2.3.4 Comparison with NMF -- 6.2.4 Conclusion and Future Work -- References -- 7 Dimensionality Reduction -- 7.1 Marginalized Denoising Dictionary Learning with Locality Constraint -- 7.1.1 Introduction -- 7.1.2 Related Works -- 7.1.2.1 Dictionary Learning -- 7.1.2.2 Auto-encoder…”

“…The structure of the book is modular, giving both overall descriptions of the architectures and functionality of typical use cases, as well as deeper and practical guidelines for telecom professionals. …”

Tabla de Contenidos: “…8.3.3 The functional API -- 8.4 Training our convnet -- 8.4.1 Measuring accuracy -- 8.4.2 Saving and loading our model -- 8.4.3 Training on the GPU -- 8.5 Model design -- 8.5.1 Adding memory capacity: Width -- 8.5.2 Helping our model to converge and generalize: Regularization -- 8.5.3 Going deeper to learn more complex structures: Depth -- 8.5.4 Comparing the designs from this section -- 8.5.5 It's already outdated -- 8.6 Conclusion -- 8.7 Exercises -- 8.8 Summary -- Part 2. …”

Tabla de Contenidos: “…Specular/Glossiness -- Understanding Material Nodes -- Material Nodes -- Introducing the Editors -- Introducing the Shading Workspace -- Understanding the Material Properties Editor -- The Shader Editor and the Material Nodes -- Input Nodes -- Output Nodes -- Shader Nodes -- A Node Material -- Texture Nodes -- Color Nodes -- Vector Nodes -- Converter Nodes -- Script Node -- Group Nodes -- Layout Nodes -- The Node Wrangler Add-on -- Merge Selected Nodes -- Add Texture Setup -- Add Principled Setup -- Learning More About Textures -- Bitmap and Procedural Textures -- Open Source Image Editors: Gimp and Krita -- UV Mapping and Unwrapping -- UV Editing Workspace and UV Editor -- UV Mapping -- Magic UV Add-on -- Lights, Shadows, and Cameras -- Light Types -- Point Light -- Sun Light -- Spot Light -- Area Light -- Add Extra Lights Add-on -- Cameras -- The World Settings: Sky and Environment Texture -- Deepening HDRI Environment Maps -- The Sky Texture Node -- Sun Position -- Synchronize Sun Light with an HDRI Texture…”

Tabla de Contenidos: “…Productivity has slowed in the USA and in the OECD as a whole -- Figure 1.2. Capital deepening and multifactor productivity have held back U.S. productivity growth -- Figure 1.3. …”

Tabla de Contenidos: “…11.3.1 Breadth-first Search (BFS) -- 11.3.2 Depth-first Search (DFS) -- 11.3.3 Comparison Between BFS and DFS -- 11.3.4 Depth-first Iterative Deepening -- 11.3.5 Bidirectional Search -- 11.3.6 Comparison of Basic Uninformed Search Strategies -- 11.4 Heuristic Search -- 11.4.1 Best-first Search -- 11.4.2 Generalized State Space Search -- 11.4.3 Hill Climbing -- 11.4.4 The A/A* Algorithms -- 11.4.5 Problem Reduction -- 11.4.6 Means-ends Analysis -- 11.4.7 Mini-Max Search -- 11.4.8 Constraint Satisfaction -- 11.4.9 Measures of Search -- 11.5 Production Systems -- Chapter Summary -- Solved Problems -- Test Your Knowledge -- Answers -- Exercises -- Bibliography and Historical Notes -- Chapter 12: Advanced Search Strategies -- 12.1 Natural Evolution: A Brief Review -- 12.1.1 Chromosomes -- 12.1.2 Natural Selection -- 12.1.3 Crossover -- 12.1.4 Mutation -- 12.2 Genetic Algorithms (GAs) -- 12.2.1 Chromosomes -- 12.2.2 Fitness Function -- 12.2.3 Population -- 12.2.4 GA Operators -- 12.2.5 Elitism -- 12.2.6 GA Parameters -- 12.2.7 Convergence -- 12.3 Multi-objective Genetic Algorithms -- 12.3.1 MOO Problem Formulation -- 12.3.2 The Pareto-optimal Front -- 12.3.3 Pareto-optimal Ranking -- 12.3.4 Multi-objective Fitness -- 12.3.5 Multi-objective GA Process -- 12.4 Simulated Annealing -- Chapter Summary -- Solved Problems -- Test Your Knowledge -- Answers -- Exercise -- Bibliography and Historical Notes -- Chapter 13: Hybrid Systems -- 13.1 Neuro-genetic Systems -- 13.1.1 GA-based Weight Determination of Multi-layerFeed-forward Net -- 13.1.2 Neuro-evolution of Augmenting Topologies (NEAT) -- 13.2 Fuzzy-Neural Systems -- 13.2.1 Fuzzy Neurons -- 13.2.2 Adaptive Neuro-fuzzy Inference System (ANFIS) -- 13.3 Fuzzy-genetic Systems -- Chapter Summary -- Test Your Knowledge -- Answers -- Bibliography and Historical Notes -- Index…”

Tabla de Contenidos: “…Apprenticeships: What happens in On-the-Job Training (OJT)? -- 12.1 Apprenticeship and Learning -- 12.1.1 Institutional History of Apprenticeship Programmes in the US -- 12.2 Methodology of this Study -- 12.3 The Physical Context of the Classroom as compared to the Field -- 12.4 On the Job: The Worksite itself as Resource for Learning -- 12.5 On the Job: Tools and Equipment as Resources for Learning -- 12.6 Learning Through Interaction without Master-Apprentice Relationships -- 12.7 Learning and the ‘Bottom Line’ -- 12.8 What can go Wrong -- 12.9 Apprenticeship Learning as Reproduction of the Economic Viability -- 12.10 Conclusion -- 13. …”