Tabla de Contenidos: “…Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Forward; Preface; Introduction; The Craft of Performing for Voiceover; 1. …”

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Tabla de Contenidos: “…; Database Nation; Thirty-Four Years Later; How We Got Here; Social Security Numbers Grow in Popularity; America Adopts the SSN; It Could Happen to You; Identity Theft: A Stolen Self; Looking Forward by Looking Back; Our Databanked Future; Absolute Identification; On the Identification of Infants; Anthropometrical Signalment; The Science of Fingerprints; The Rise of the Identification State; AFIS; DNA Identification…”

Tabla de Contenidos: “…AutoCAD 2009 & AutoCAD LT 2009 Bible; About the Author; Forward; Preface; Is This Book for You?; How This Book Is Organized; How to Use This Book; Doing the Exercises; Conventions Used in This Book; What the Icons Mean; About the DVD; Other Information; Contacting the Author; Acknowledgments; Contents at a Glance; Contents; Part I: AutoCAD and AutoCAD LT Basics; Quick Start: Drawing a Window; Summary; Chapter 1: Starting to Draw; AutoCAD's Advantages; Comparing AutoCAD and AutoCAD LT; Starting AutoCAD and AutoCAD LT; Creating a New Drawing; Using the AutoCAD and AutoCAD LT Interface…”

Tabla de Contenidos: “…Blockchain, AI, and Human Intelligence: The Path toward 6G -- Introduction -- Blockchain Technologies -- Ethereum versus Bitcoin Blockchains -- Decentralized Autonomous Organizations (DAOs) -- Blockchain IoT and Edge Computing -- Blockchain IoT (B-IoT): Recent Progress and Related Work -- Blockchain-Enabled Edge Computing -- The IEEE P1918.1 Tactile Internet -- The Tactile Internet: Key Principles -- Human-Agent-Robot Teamwork -- Low-Latency FiWi-Enhanced LTE-A HetNets with AI-Enhanced MEC -- Decentralizing the Tactile Internet -- Decentralized Edge Intelligence -- Crowdsourcing: Expanding the HO Workforce -- Blockchain, AI, and Human Intelligence: The Path Forward -- Cognitive-Assistance-Based Intelligence Amplification -- HITL Hybrid-Augmented Intelligence -- The Rise of the Decentralized Self-Organizing Cooperative -- Nudging toward Human Augmentation -- Open Challenges and Future Work -- Conclusions -- Note -- References -- 3. …”

Tabla de Contenidos: “…A decade of crises : The great leap forward ; The Himalayan border dispute and the 1962 Sino-Indian War ; The cultural revolution ; Was there a lost opportunity? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright Page -- Contents -- Preface to the Second Edition -- Acknowledgments -- Acronyms -- Chapter 1 Basics of Fourier Analysis -- 1.1 Forward and Inverse Fourier Transform -- 1.1.1 Brief History of FT -- 1.1.2 Forward FT Operation -- 1.1.3 IFT -- 1.2 FT Rules and Pairs -- 1.2.1 Linearity -- 1.2.2 Time Shifting -- 1.2.3 Frequency Shifting -- 1.2.4 Scaling -- 1.2.5 Duality -- 1.2.6 Time Reversal -- 1.2.7 Conjugation -- 1.2.8 Multiplication -- 1.2.9 Convolution -- 1.2.10 Modulation -- 1.2.11 Derivation and Integration -- 1.2.12 Parseval's Relationship -- 1.3 Time-Frequency Representation of a Signal -- 1.3.1 Signal in the Time Domain -- 1.3.2 Signal in the Frequency Domain -- 1.3.3 Signal in the Joint Time-Frequency (JTF) Plane -- 1.4 Convolution and Multiplication Using FT -- 1.5 Filtering/Windowing -- 1.6 Data Sampling -- 1.7 DFT and FFT -- 1.7.1 DFT -- 1.7.2 FFT -- 1.7.3 Bandwidth and Resolutions -- 1.8 Aliasing -- 1.9 Importance of FT in Radar Imaging -- 1.10 Effect of Aliasing in Radar Imaging -- 1.11 Matlab Codes -- References -- Chapter 2 Radar Fundamentals -- 2.1 Electromagnetic Scattering -- 2.2 Scattering from PECs -- 2.3 Radar Cross Section -- 2.3.1 Definition of RCS -- 2.3.2 RCS of Simple-Shaped Objects -- 2.3.3 RCS of Complex-Shaped Objects -- 2.4 Radar Range Equation -- 2.4.1 Bistatic Case -- 2.4.2 Monostatic Case -- 2.5 Range of Radar Detection -- 2.5.1 Signal-to-Noise Ratio -- 2.6 Radar Waveforms -- 2.6.1 Continuous Wave -- 2.6.2 Frequency-Modulated Continuous Wave -- 2.6.3 Stepped-Frequency Continuous Wave -- 2.6.4 Short Pulse -- 2.6.5 Chirp (LFM) Pulse -- 2.7 Pulsed Radar -- 2.7.1 Pulse Repetition Frequency -- 2.7.2 Maximum Range and Range Ambiguity -- 2.7.3 Doppler Frequency -- 2.8 Matlab Codes -- References -- Chapter 3 Synthetic Aperture Radar -- 3.1 SAR Modes -- 3.2 SAR System Design…”

Tabla de Contenidos: “…Cover -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Big Data and Artificial Intelligence Systems -- Results pyramid -- What the human brain does best -- Sensory input -- Storage -- Processing power -- Low energy consumption -- What the electronic brain does best -- Speed information storage -- Processing by brute force -- Best of both worlds -- Big Data -- Evolution from dumb to intelligent machines -- Intelligence -- Types of intelligence -- Intelligence tasks classification -- Big data frameworks -- Batch processing -- Real-time processing -- Intelligent applications with Big Data -- Areas of AI -- Frequently asked questions -- Summary -- Chapter 2: Ontology for Big Data -- Human brain and Ontology -- Ontology of information science -- Ontology properties -- Advantages of Ontologies -- Components of Ontologies -- The role Ontology plays in Big Data -- Ontology alignment -- Goals of Ontology in big data -- Challenges with Ontology in Big Data -- RDF-the universal data format -- RDF containers -- RDF classes -- RDF properties -- RDF attributes -- Using OWL, the Web Ontology Language -- SPARQL query language -- Generic structure of an SPARQL query -- Additional SPARQL features -- Building intelligent machines with Ontologies -- Ontology learning -- Ontology learning process -- Frequently asked questions -- Summary -- Chapter 3: Learning from Big Data -- Supervised and unsupervised machine learning -- The Spark programming model -- The Spark MLlib library -- The transformer function -- The estimator algorithm -- Pipeline -- Regression analysis -- Linear regression -- Least square method -- Generalized linear model -- Logistic regression classification technique -- Logistic regression with Spark -- Polynomial regression -- Stepwise regression -- Forward selection -- Backward elimination…”

Tabla de Contenidos: “…Term-structure (interest rate) models -- 6.1.2. Forward-rate models versus spot-rate models -- 6.1.3. …”

Tabla de Contenidos: “…-- Writing our first servlet -- Testing the web application -- Processing HTML forms -- Request forwarding and response redirection -- Request forwarding -- Response redirection -- Persisting application data across requests -- Passing initialization parameters to a servlet via annotations -- Servlet filters -- Servlet listeners -- Pluggability -- Configuring web applications programmatically -- Asynchronous processing -- HTTP/2 server push support -- Summary -- Appendix: Configuring and Deploying to GlassFish -- Obtaining GlassFish -- Installing GlassFish…”

Tabla de Contenidos: “…-- Summary -- Chapter 2 Existing Approaches-Traditional Vendor Risk Management -- Assessments -- SDL Assessments -- Application Security Maturity Models -- Governance -- Design -- Implementation -- Verification -- Operations -- Application Security Assurance -- Static Application Security Testing -- Dynamic Application Security Testing -- Interactive Application Security Testing -- Mobile Application Security Testing -- Software Composition Analysis -- Hashing and Code Signing -- Summary -- Chapter 3 Vulnerability Databases and Scoring Methodologies -- Common Vulnerabilities and Exposures -- National Vulnerability Database -- Software Identity Formats -- CPE -- Software Identification Tagging -- PURL -- Sonatype OSS Index -- Open Source Vulnerability Database -- Global Security Database -- Common Vulnerability Scoring System -- Base Metrics -- Temporal Metrics -- Environmental Metrics -- CVSS Rating Scale -- Critiques -- Exploit Prediction Scoring System -- EPSS Model -- EPSS Critiques -- CISA's Take -- Common Security Advisory Framework -- Vulnerability Exploitability eXchange -- Stakeholder-Specific Vulnerability Categorization and Known Exploited Vulnerabilities -- Moving Forward -- Summary -- Chapter 4 Rise of Software Bill of Materials…”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Author -- About the Reviewer -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Journey from Statistics to Machine Learning -- Statistical terminology for model building and validation -- Machine learning -- Major differences between statistical modeling and machine learning -- Steps in machine learning model development and deployment -- Statistical fundamentals and terminology for model building and validation -- Bias versus variance trade-off -- Train and test data -- Machine learning terminology for model building and validation -- Linear regression versus gradient descent -- Machine learning losses -- When to stop tuning machine learning models -- Train, validation, and test data -- Cross-validation -- Grid search -- Machine learning model overview -- Summary -- Chapter 2: Parallelism of Statistics and Machine Learning -- Comparison between regression and machine learning models -- Compensating factors in machine learning models -- Assumptions of linear regression -- Steps applied in linear regression modeling -- Example of simple linear regression from first principles -- Example of simple linear regression using the wine quality data -- Example of multilinear regression - step-by-step methodology of model building -- Backward and forward selection -- Machine learning models - ridge and lasso regression -- Example of ridge regression machine learning -- Example of lasso regression machine learning model -- Regularization parameters in linear regression and ridge/lasso regression -- Summary -- Chapter 3: Logistic Regression Versus Random Forest -- Maximum likelihood estimation -- Logistic regression - introduction and advantages -- Terminology involved in logistic regression -- Applying steps in logistic regression modeling…”

Tabla de Contenidos: “…DNS Security ExtensionsDNS Devolution; Zone Level Statistics; Record Weighting; Netmask Ordering; DnsUpdateProxy Group; Windows PowerShell Support; Introducing DNS Record Types; Start of Authority Records; Name Server Records; Host Record; Alias Record; Pointer Record; Mail Exchanger Record; Service (SRV) Record; Configuring DNS; Installing DNS; Load Balancing with Round Robin; Configuring a Caching-Only Server; Setting Zone Properties; Configuring Zones for Dynamic Updates; Delegating Zones for DNS; DNS Forwarding; Manually Creating DNS Records; DNS Aging and Scavenging…”

Tabla de Contenidos: “…Saving, Closing, and Opening a DocumentCopying Material Between Documents; Copying Your Screen Content; Dialog Box Decisions; Inserting Special Characters; Crunching Numbers; Writing Your Text; Typing on Your Screen; Writing Quick Notes; Writing and Drawing Notes; Annotating a Document; Sharing Your Journal Notes; Controlling Your Gadgets; Controlling the Sidebar; Running Commands; Running Older Programs; Chapter 4: Communicating and Scheduling; Sending E-Mail; Saving and Sending a Draft Message; Receiving and Reading E-Mail; Replying to or Forwarding a Message; Designing Your Default Message…”

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Tabla de Contenidos: “…IPv6 Has More Efficient ForwardingIPv6 Has Support for Security and Mobility; Testing for Understanding; Chapter 2: IPv6 Protocol for Windows Server 2008 and Windows Vista; Architecture of the IPv6 Protocol for Windows Server 2008 and Windows Vista; Features of the IPv6 Protocol for Windows Server 2008 and Windows Vista; Installed, Enabled, and Preferred by Default; Basic IPv6 Stack Support; IPv6 Stack Enhancements; GUI and Command-Line Configuration; Integrated IPsec Support; Windows Firewall Support; Temporary Addresses; Random Interface IDs; DNS Support…”

Tabla de Contenidos: “…Chapter 6.Enhancing Performance with Pipelining6.1 Introduction; 6.2 A Pipelined Datapath; 6.3 Pipelined Control; 6.4 Data Hazards; 6.5 Control for Data Hazards: Stalls; 6.6 Reducing Data Hazards: Forwarding; 6.7 Branch Hazards; 6.8 Exceptions; 6.9 Performance of Pipelined Systems; 6.10 Fallacies and Pitfalls; 6.11 Concluding Remarks; 6.12 Historical Perspective and Further Reading; 6.13 Exercises; Chapter 7.Large and Fast: Exploiting Memory Hierarchy; 7.1 Introduction; 7.2 Caches; 7.3 Virtual Memory; 7.4 A Common Framework for Memory Hierarchies; 7.5 Fallacies and Pitfalls…”

Tabla de Contenidos: “…Manipulate the Layer 2 Forwarding Table; Solution; Discussion; 5.7. Configure the Management Interface in Transparent Mode; Solution; Discussion; 5.8. …”

Tabla de Contenidos: “…Creating a launch template to launch and bootstrap Windows and Linux Amazon EC2 nodes -- Creating an Auto Scaling group -- Summary -- Chapter 10: Managing a Windows Pod -- Technical requirements -- Exploring Windows host and Pod resource management -- Pod memory management -- Pod CPU management -- Host CPU management -- System resource reservations -- Understanding the Runtime Class use case -- Understanding Active Directory integration on Kubernetes -- Credential specs -- Deploying a Windows Pod on Amazon EKS -- Connecting to the Amazon EKS cluster -- Deploying the Windows Pod -- Summary -- Part 4: Operationalizing Windows Containers on AWS -- Chapter 11: Monitoring and Logging -- Implementing LogMonitor -- Implementing log forwarding -- The awslogs driver as a log processor -- Fluent Bit as a log processor -- Using Amazon CloudWatch Container Insights -- Summary -- Chapter 12: Managing a Windows Container's Image Life Cycle -- Understanding Microsoft Patch Tuesday -- Security patch compliance on Windows container images -- Rebuilding your container image frequently -- Summary -- Chapter 13: Working with Ephemeral Hosts -- The idea behind ephemeral hosts -- Why custom AMIs -- Building a custom AMI pipeline -- Summary -- Chapter 14: Implementing a Container Image Cache Strategy -- Why is implementing a container image cache strategy important? …”

Tabla de Contenidos: “…Agglomerative clustering algorithm in action -- Simple automation of unsupervised learning -- Visualizing high-dimensional datasets -- Principal Component Analysis in action -- t-SNE in action -- Adding simple components together to improve the pipeline -- Summary -- Chapter 5: Hyperparameter Optimization -- Technical requirements -- Hyperparameters -- Warm start -- Bayesian-based hyperparameter tuning -- An example system -- Summary -- Chapter 6: Creating AutoML Pipelines -- Technical requirements -- An introduction to machine learning pipelines -- A simple pipeline -- FunctionTransformer -- A complex pipeline -- Summary -- Chapter 7: Dive into Deep Learning -- Technical requirements -- Overview of neural networks -- Neuron -- Activation functions -- The step function -- The sigmoid function -- The ReLU function -- The tanh function -- A feed-forward neural network using Keras -- Autoencoders -- Convolutional Neural Networks -- Why CNN? …”