Tabla de Contenidos: “…-- Getting started with BigQuery -- Using BQML for feature transformations -- Manual preprocessing -- Building ML models with BQML -- Creating BQML models -- Hyperparameter tuning with BQML -- Evaluating trained models -- Doing inference with BQML -- User exercise -- Summary -- Chapter 7: Training Fully Custom ML Models with Vertex AI -- Technical requirements -- Building a basic deep learning model with TensorFlow -- Experiment - converting black-and-white images into color images -- Packaging a model to submit it to Vertex AI as a training job -- Monitoring model training progress -- Evaluating trained models -- Summary -- Chapter 8: ML Model Explainability -- What is Explainable AI and why is it important for MLOps practitioners? …”

Tabla de Contenidos: “…ACFS Enhancements -- File Support -- Highly Available NFS -- ACFS Snapshots -- Other Enhancements -- End of Line -- Chapter 5: Backup, Recovery, and Data Guard New Features -- RMAN-Related New Features -- Improvements in Incremental and Multisection Backups -- Recovery of Databases Over the Network Using Backup Sets from a Standby Database -- Active Database Duplication Improvements -- Cross-Platform Backup and Recovery Improvements -- Recovering Tables and Partitions with RMAN -- Miscellaneous RMAN New Features -- Oracle Data Guard New Features -- The SYSDG Privilege -- The Far Sync Instance -- Cascaded Redo Transport Destinations -- Fast-Sync Mode -- Other New Standby Database and Data Guard Features -- End of Line -- Chapter 6: Oracle Database 12c SQL and PL/SQL New Features -- Oracle Database 12c DML New Features -- Row Pattern Matching -- Enhancements to the Oracle Native Left Outer Join Syntax -- Top-n Query New Features -- Concurrent Execution of Union and Union All Branches -- Oracle Database 12c DDL New Features -- Increased Size Limits for VARCHAR2, NVARCHAR2, and RAW Data Types -- Identity Columns -- Cascading Truncate Statements -- Invisible Columns -- Default Values for Columns Based on Oracle Sequences -- Default Values for Columns on Explicit NULL Insertion -- Sequence-Related New Features -- Creating Multiple Indexes on the Same Column Set -- With Clause New Features -- Oracle Database 12c PL/SQL New Features -- Using the Bequeath Clause on Views -- PL/SQL Subprogram White Lists -- Using PL/SQL-Specific Data Types Across the PL/SQL-to-SQL Interface -- Changes to Security Privileges on Invoker Rights PL/SQL Program Units -- Granting Roles to PL/SQL Packages and Stand-Alone Subprograms -- A Final Word on PL/SQL New Features -- End of Line -- Chapter 7: Partitioning Enhancements -- Moving Partitions Online…”

Tabla de Contenidos: “…Working With The Opacity Effect -- Combine Layers Based On A Blend Mode -- Working With Alpha-Channel Transparencies -- Using Video Effects That Work With Graphic-File Alpha Channels -- Color Keying A Green-Screen Shot With Ultra Key -- Using The Ultra Key Effect -- Using Matte Keys -- Using Mattes That Use Graphics Or Other Clips -- Using Track Matte Key -- Making A Traveling Matte -- 16 Working With Color, Nested Sequences, And Shortcuts -- Topics Covered In This Lesson -- Getting Started -- An Overview Of Color-Oriented Effects -- Coloring Effects -- Color Removal Or Replacement -- Color Correction -- Technical Color Effects -- Adjusting And Enhancing Color -- The Leave Color Effect -- The Change To Color Effect -- Color Correction -- The Color Balance (Rgb) Effect -- The Auto Color Effect -- The Fast Color Corrector Effect -- Using Nested Sequences -- Multiple Uses For Nested Sequences -- Nesting A Video In A Newspaper -- Nesting Clips -- Getting To Know The Recommended Keyboard Shortcuts -- Changing A Shortcut -- Most Frequently Used Shortcuts -- 17 Managing Your Projects -- Topics Covered In This Lesson -- Getting Started -- Project Menu Overview -- Making A Clip Offline -- Using The Project Manager -- Working With A Trimmed Project -- Collecting Files And Copying Them To A New Location -- Final Project Management Steps -- Importing Projects Or Sequences -- 18 Exploring Adobe Onlocation Cs5 -- Topics Covered In This Lesson -- Getting Started -- Setting Up Adobe Onlocation -- Calibrating Your Camera With Camera Setup Assistant -- Setting Up Your Frame -- Setting Your Focus -- Setting Your Iris/Exposure -- Setting Your White Balance -- Recording Live Video -- Recording Video To A Shot List -- Analyzing Video With Adobe Onlocation -- Working With The Waveform Monitor -- Analyzing Color With The Vectorscope -- Analyzing Audio With Adobe Onlocation…”

Tabla de Contenidos: “…6.2.1 Quadrature Amplitude Modulation Simulator 339 -- 6.2.2 Filtered Noise Method 339 -- 6.2.3 Sum of Sinusoids Method (Jakes Method) 341 -- 6.2.4 Frequency Domain Method 343 -- 6.2.5 Reverberation Chambers (or Mode-Stirred Chambers) 344 -- 6.3 Wideband Stochastic Channel Simulator 346 -- 6.3.1 Time Domain Channel Simulators 346 -- 6.3.2 Frequency Domain Simulators 348 -- 6.4 Frequency Domain Implementation Using Fast Convolution 349 -- 6.5 Channel Block Realization from Measured Data 351 -- 6.6 Theoretical Prediction of System Performance in Additive White Gaussian Noise 353 -- 6.6.1 Matched Filter and Correlation Detector 354 -- 6.6.2 Bit Error Rate of the Matched Filter Detector in AWGN 356 -- 6.6.3 Bit Error Rate with Noncoherent Detectors 357 -- 6.6.4 Comparison of BER of Coherent and Noncoherent Detectors 358 -- 6.6.5 Higher Order Modulation 358 -- 6.7 Prediction of System Performance in Fading Channels 361 -- 6.7.1 Narrowband Signals 361 -- 6.7.2 Wideband Signals 363 -- 6.8 Bit Error Rate Prediction for Wireless Standards 364 -- 6.8.1 IEEE 802.16-d Standard 365 -- 6.8.2 IEEE 802.11-a Standard 371 -- 6.8.3 Third Generation WCDMA Standard 372 -- 6.9 Enhancement of Performance Using Diversity Gain 376 -- 6.9.1 Diversity Combining Methods 377 -- 6.9.2 Diversity Gain Prediction of Rayleigh Fading Channels from Measurements in a Reverberation Chamber 382 -- References 383 -- Appendix 1 385 -- A.1 Probability Distribution Functions 385 -- A.2 The Gaussian (Normal) Distribution 385 -- A.3 The Rayleigh Distribution 387 -- A.4 The Rician Distribution 388 -- A.5 The Nakagami m-Distribution 389 -- A.6 The Weibull Distribution 390 -- A.7 The Log-Normal Distribution 390 -- A.8 The Suzuki Distribution 391 -- A.9 The Chi-Square Distribution 391 -- References 391 -- Appendix 2 393 -- Index 395.…”

Tabla de Contenidos: “…TINTURA DE CUERO CON CURTICIÓN WET WHITE -- 7.4. PROCESOS CINÉTICOS EN LA TINTURA -- 7.5. …”

Tabla de Contenidos: “…Pricing Financial Derivatives in the Hull-White Model Using Cubature Methods on Wiener Space -- 25.1. …”

Tabla de Contenidos: “…Dynamic vs Static -- 8.2.2. Block-Box vs White-Box -- 9. Some Discussions -- 9.1. Existing Issues -- 9.1.1. …”

Tabla de Contenidos: “…Experiments conducted using Hydar -- 5.1 Experiment-The first -- 5.2 Experiment-Observe what is expected -- 5.3 Experiment-Different forward models -- 5.4 Experiment-Higher embedding orders -- 5.5 Experiment-Colored noise -- 5.6 Experiment-White noise -- 5.7 Plotting 4D probabilistic atlas maps -- 5.8 Plotting a statistical map -- 5.9 Glass brain visualization -- 6. …”

“…Jay Ke-Schutte explores the ways in which many contemporary interactions between Chinese and African university studies are mediated through complex intersectional relationships between whiteness, English, and cosmopolitan aspiration. At the heart of these tensions, a question persistently emerges: how does English become more than a language--and whiteness more than a race? …”

“…It describes how black people and Black Religion made a phenomenological appearance in modernity simultaneously and were signified in the identity formation of whites and their religion…”
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“…This nothingness serves as a destabilizing presence and force as well as that which whiteness defines itself against. Thus, the function of blackness as giving form to nothing presents a terrifying problem for whites: they need blacks to affirm their existence, even as they despise the nothingness they represent. …”

Tabla de Contenidos: “…Chapter 6 Software Composition Analysis in the Automotive Industry -- 6.1 Software Composition Analysis: Benefits and Usage Scenarios -- 6.2 Problem Statement: Analysis of Automotive Software Open‐Source Software Risks -- 6.2.1 Analysis Results -- 6.2.1.1 zlib -- 6.2.1.2 libpng -- 6.2.1.3 OpenSSL -- 6.2.1.4 curl -- 6.2.1.5 Linux Kernel -- 6.2.2 Discussion -- 6.3 Solution: Countermeasures on Process and Technical Levels -- 6.3.1 Fully Inventory Open‐Source Software -- 6.3.2 Use Appropriate Software Composition Analysis Approaches -- 6.3.3 Map Open‐Source Software to Known Security Vulnerabilities -- 6.3.4 Identify License, Quality, and Security Risks -- 6.3.5 Create and Enforce Open‐Source Software Risk Policies -- 6.3.6 Continuously Monitor for New Security Threats and Vulnerabilities -- 6.3.7 Define and Follow Processes for Addressing Vulnerabilities in Open‐Source Software -- 6.3.8 How to Get Started -- 6.4 Chapter Summary -- References -- Chapter 7 Overview of Automotive Security Testing Approaches -- 7.1 Practical Security Testing -- 7.1.1 Security Functional Testing -- 7.1.2 Vulnerability Scanning -- 7.1.3 Fuzz Testing -- 7.1.4 Penetration Testing -- 7.2 Frameworks for Security Testing -- 7.3 Focus on Fuzz Testing -- 7.3.1 Fuzz Engine -- 7.3.2 Injector -- 7.3.3 Monitor -- 7.4 Chapter Summary -- References -- Chapter 8 Automating Fuzz Testing of In‐Vehicle Systems by Integrating with Automotive Test Tools -- 8.1 Overview of HIL Systems -- 8.2 Problem Statement: SUT Requires External Input and Monitoring -- 8.3 Solution: Integrating Fuzz Testing Tools with HIL Systems -- 8.3.1 White‐Box Approach for Fuzz Testing Using HIL System -- 8.3.1.1 Example Test Setup Using an Engine ECU -- 8.3.1.2 Fuzz Testing Setup for the Engine ECU -- 8.3.1.3 Fuzz Testing Setup Considerations -- 8.3.2 Black‐Box Approach for Fuzz Testing Using HIL System…”