Tabla de Contenidos: “…Chapter 11: Backend Architecture -- API -- RESTful API -- HTTP request methods -- GET -- POST -- PUT -- DELETE -- Authentication -- Basic authentication -- JSON Web Token -- Header -- Payload -- Signature -- Practical -- RESTful web service -- Java client -- Redis -- Installation -- Redis server -- Redis client -- Working with Redis -- Redis data types and structures -- String -- HashMap -- List -- Set -- Redis Publish/Subscribe -- Common key operations -- Summary -- Chapter 12: Machine Learning -- Machine learning -- Types of algorithms -- Parametric algorithms -- Non-parametric algorithms -- Supervised learning -- The classification model -- Binary classification -- Multi-class classification -- The regression model -- Linear regression -- Polynomial regression -- Unsupervised learning -- Clustering, k-means -- Neural networks -- Feedforward neural network -- Recurrent neural network -- Symmetrically connected neural network -- Deep neural networks -- Decision tree classifiers -- Summary -- Chapter 13: Artificial Intelligence -- Artificial intelligence -- Convolutional neural networks -- Deep learning using TensorFlow -- TensorFlow -- Installation -- TensorFlow program -- Uninstalling TensorFlow -- TensorBoard -- Program -- Launching TensorBoard -- TensorBoard graph -- Object detection using YOLO -- Installation -- Compiling YOLO library -- Trained weights -- Detecting objects in an image -- Summary -- Chapter 14: Elasticsearch -- Installing Elasticsearch -- Starting the Elasticsearch server -- Auto starting the Elasticsearch service -- Stopping the Elasticsearch server -- Uninstalling Elasticsearch -- Kibana -- Installation -- Starting Kibana -- Uninstalling Kibana -- Security -- Securing Elasticsearch -- Securing Kibana -- Understanding queries - CRUD commands -- Creating -- Reading -- Updating -- Deleting -- Summary…”

Tabla de Contenidos: “…Exercises -- Exercise 1 -- Exercise 2 -- Exercise 3 -- Exercise 4 -- Chapter 9: Transformers -- 9.1. Linear Transformer -- 9.2. Nonlinear Transformer -- 9.3. …”

Tabla de Contenidos: “…The curse of dimensionality, the data science plague -- Optimizing KMeans -- Story mutation -- The Equilibrium state -- Tracking stories over time -- Building a streaming application -- Streaming KMeans -- Visualization -- Building story connections -- Summary -- Chapter 11: Anomaly Detection on Sentiment Analysis -- Following the US elections on Twitter -- Acquiring data in stream -- Acquiring data in batch -- The search API -- Rate limit -- Analysing sentiment -- Massaging Twitter data -- Using the Stanford NLP -- Building the Pipeline -- Using Timely as a time series database -- Storing data -- Using Grafana to visualize sentiment -- Number of processed tweets -- Give me my Twitter account back -- Identifying the swing states -- Twitter and the Godwin point -- Learning context -- Visualizing our model -- Word2Graph and Godwin point -- Building a Word2Graph -- Random walks -- A Small Step into sarcasm detection -- Building features -- #LoveTrumpsHates -- Scoring Emojis -- Training a KMeans model -- Detecting anomalies -- Summary -- Chapter 12: TrendCalculus -- Studying trends -- The TrendCalculus algorithm -- Trend windows -- Simple trend -- User Defined Aggregate Functions -- Simple trend calculation -- Reversal rule -- Introducing the FHLS bar structure -- Visualize the data -- FHLS with reversals -- Edge cases -- Zero values -- Completing the gaps -- Stackable processing -- Practical applications -- Algorithm characteristics -- Advantages -- Disadvantages -- Possible use cases -- [Chart annotation] -- Chart annotation -- Co-trending -- Data reduction -- Indexing -- Fractal dimension -- Streaming proxy for piecewise linear regression -- Summary -- Chapter 13: Secure Data -- Data security -- The problem -- The basics -- Authentication and authorization -- Access control lists (ACL) -- Role-based access control (RBAC) -- Access -- Encryption…”

Tabla de Contenidos: “…Keras advanced activation layers -- Keras normalization layers -- Keras noise layers -- Adding Layers to the Keras Model -- Sequential API to add layers to the Keras model -- Functional API to add layers to the Keras Model -- Compiling the Keras model -- Training the Keras model -- Predicting with the Keras model -- Additional modules in Keras -- Keras sequential model example for MNIST dataset -- Summary -- Chapter 4: Classical Machine Learning with TensorFlow -- Simple linear regression -- Data preparation -- Building a simple regression model -- Defining the inputs, parameters, and other variables -- Defining the model -- Defining the loss function -- Defining the optimizer function -- Training the model -- Using the trained model to predict -- Multi-regression -- Regularized regression -- Lasso regularization -- Ridge regularization -- ElasticNet regularization -- Classification using logistic regression -- Logistic regression for binary classification -- Logistic regression for multiclass classification -- Binary classification -- Multiclass classification -- Summary -- Chapter 5: Neural Networks and MLP with TensorFlow and Keras -- The perceptron -- MultiLayer Perceptron -- MLP for image classification -- TensorFlow-based MLP for MNIST classification -- Keras-based MLP for MNIST classification -- TFLearn-based MLP for MNIST classification -- Summary of MLP with TensorFlow, Keras, and TFLearn -- MLP for time series regression -- Summary -- Chapter 6: RNN with TensorFlow and Keras -- Simple Recurrent Neural Network -- RNN variants -- LSTM network -- GRU network -- TensorFlow for RNN -- TensorFlow RNN Cell Classes -- TensorFlow RNN Model Construction Classes -- TensorFlow RNN Cell Wrapper Classes -- Keras for RNN -- Application areas of RNNs -- RNN in Keras for MNIST data -- Summary -- Chapter 7: RNN for Time Series Data with TensorFlow and Keras…”

Tabla de Contenidos: “…-- Adding the node class -- Filling the skeleton tree in the Gltf model class -- The inverse bind matrices and the binding pose -- How (not) to apply a skin to a skeleton -- Naive model skinning -- Vertex skinning in glTF -- Connecting joints and nodes -- Joints and weights for the vertices -- Creating the joint transformation matrices -- Applying vertex skinning -- Implementing GPU-based skinning -- Moving the joints and weights to the vertex shader -- Getting rid of the UBO fixed array size -- Identifying linear skinning problems -- The dual quaternion -- Using dual quaternions as data storage -- Dual quaternions in GLM -- Adding dual quaternions to the glTF model -- Adding a dual quaternion shader -- Adjusting the renderer -- Summary -- Practical sessions -- Additional resources -- Chapter 10: About Poses, Frames, and Clips -- Technical requirements -- A brief overview of animations -- What is a pose and how do we represent it? …”

Tabla de Contenidos: “…Let's Get Stylish -- CSS3 overview -- CSS3 colors -- Rounded corners -- Shadows -- Box shadows -- Text shadows -- Time for action - styles in action -- What just happened? -- Backgrounds -- Linear gradients -- Radial gradients -- Background images -- CSS sprites -- Time for action - adding a gradient and button images…”

Tabla de Contenidos: “…Further Reading -- 4 High Level Design -- 13 How to Design a Process Control System -- Introduction -- Matching design rigor with stage of design -- Operation and Maintenance manuals -- Specification of operators -- Automatic control -- Specification of instrumentation -- Precision -- Accuracy -- Cost and robustness -- Safety -- Specification of control systems -- Standard control and instrumentation strategies -- Alarms, inhibits, stops, and emergency stops -- Chemical dosing -- Pump speed control -- Pump stroke length control -- Actuated valve control -- Compressors/blowers/fans -- Positive displacement -- Centrifugal -- Distillation -- Filters -- Backwash control -- Chemical cleaning control -- Fired heaters/boilers -- Heat exchangers -- Pumps -- Dry running protection -- No flow protection -- Over-temperature protection -- Pumps: centrifugal -- Pumps: positive displacement -- Pumps: dosing -- Tanks -- Valves -- Rotary actuators-modulating duties -- Linear actuators-open/closed duties -- Valve positioner/limit switch -- Further Reading -- 14 How to Lay Out a Process Plant -- Introduction -- General principles -- Factors affecting layout -- Cost -- Health/safety/environment -- Robustness -- Site selection -- Natural environment -- Man-made environment -- Regulatory environment -- Plant layout and safety -- Plant layout and cost -- Plant layout and aesthetics -- Matching design rigor with stage of design -- Conceptual layout -- In which direction is the prevailing wind? …”

Tabla de Contenidos: “…Fine-Tuning Proactive Caching -- ROLAP Dimensions -- Linking -- Writeback -- Cube and Dimension Processing Options -- Summary -- Chapter 10: Introduction to MDX -- The Importance of MDX -- Writing Your First MDX Queries -- MDX Object Names -- Other Elements of MDX Syntax -- MDX Core Functions -- Filtering MDX Result Sets -- Calculated Members and Named Sets -- Creating Objects by Using Scripts -- The TopCount Function -- Rank Function and Combinations -- Head and Tail Functions -- Hierarchical Functions in MDX -- Date Functions -- Using Aggregation with Date Functions -- About Query Optimization -- Summary -- Chapter 11: Advanced MDX -- Querying Dimension Properties -- Looking at Date Dimensions and MDX Seasonality -- Creating Permanent Calculated Members -- Creating Permanent Calculated Members in BIDS -- Creating Calculated Members Using MDX Scripts -- Using IIf -- About Named Sets -- About Scripts -- Understanding SOLVE_ORDER -- Creating Key Performance Indicators -- Creating KPIs Programmatically -- Additional Tips on KPIs -- Using MDX with SSrS and PerformancePoint Server -- Using MDX with SSRS 2008 -- Using MDX with PerformancePoint Server 2007 -- Summary -- Chapter 12: Understanding Data Mining Structures -- Reviewing Business Scenarios -- Categories of Data Mining Algorithms -- Working in the BiDS Data Mining Interface -- Understanding Data Types and Content Types -- Setting Advanced Data Properties -- Choosing a Data Mining Model -- Picking the Best Mining Model Viewer -- Mining Accuracy Charts and Prediction -- Data Mining Algorithms -- Microsoft Naïve Bayes -- Microsoft Decision Trees Algorithm -- Microsoft Linear Regression Algorithm -- Microsoft Time Series Algorithm -- Microsoft Clustering Algorithm -- Microsoft Sequence Clustering -- Microsoft Association Algorithm -- Microsoft Neural Network Algorithm -- Microsoft Logistic Regression…”

Tabla de Contenidos: “…4.2 Primary Drivers, 4.2.1 Internal and External Drivers, 4.3 Secondary Drivers, 4.4 Practical Issues with Drivers, 4.4.1 Sub-Classification of Primary Drivers, 4.4.2 Avoid Pseudo-Drivers, 4.4.3 Things are rarely Black or White, 4.5 Accuracy and Precision of Primary and Secondary Drivers, 4.5.1 Accuracy, Precision and Drivers - A Pareto Perspective, 4.5.2 Cone of Uncertainty, 4.6 3-Point Estimates as a Measure of Relative Accuracy and Uncertainty, 4.7 Precision as an Expression of Appropriate or Inappropriate Exactness, 4.8 Chapter Review, References, 5 Factors, Rates, Ratios, and Estimating by Analogy, 5.1 Estimating Metrics, 5.1.1 Where to use them, 5.1.2 The Views of Others, 5.1.3 Underlying Linear Relationship, 5.2 Rates, 5.3 Factors, 5.4 Ratios, 5.5 Dealing with Multiple Rates, Factors (and Ratios), 5.5.1 Anomalous Analogies, 5.5.2 Analogies with an Additive Model, 5.5.3 Analogies with a Multiplicative Model, 5.6 Sensitivity Analysis on Factors, Rates and Ratios, 5.6.1 Choosing a Sensitivity Range Quantitatively, 5.6.2 Choosing a Sensitivity Range around a Measure of Central Tendency, 5.6.3 The Triangulation Option, 5.6.4 Choosing a Sensitivity Range around a High-end or Low-end Metric, 5.6.5 Choosing a Sensitivity Range when all else fails, 5.7 Chapter Review, References, 6 Data Normalisation - Levelling the Playing Field, 6.1 Classification of Data Sources - Primary, Secondary and Tertiary Data, 6.1.1 Primary Data, 6.1.2 Secondary Data, 6.1.3 Tertiary Data, 6.1.4 Quarantined Data, 6.2 Types of Normalisation Methods and Techniques, 6.3 Normalisation can be a Multi-Dimensional Problem, 6.3.1 Error Related, 6.3.2 Volume, Quantity or Throughput Related - Economies of Scale, 6.3.3 Scale Conversion - Fixed and Variable Factors, 6.3.4 Date or Time Related, 6.3.5 Life Cycle Related, 6.3.6 Key Groupings - Role Related, 6.3.7 Scope Related (Subjective), 6.3.8 Complexity - Judgement Related (Subjective), 6.4 The Estimator as a Time Traveller, 6.4.1 Use of Time-based Indices Now and Then, 6.4.2 Time-based Weighted Indices, 6.4.3 Time-based Chain-Linked Weighted Indices, 6.4.4 The Doubling Rule for Escalation, 6.4.5 Composite Index: Is that not just a Weighted Index by another Name? …”

Tabla de Contenidos: “…The Hitchhiker's Guide to Concurrency -- Don't Panic -- Concurrency Concepts -- Scalability -- Fault Tolerance -- Concurrency Implementation -- Not Entirely Unlike Linear Scaling -- So Long and Thanks for All the Fish! …”

Tabla de Contenidos: “…Critical Path -- Project Schedule -- Activity Slack -- Analyzing Cost-Time Trade‐Offs -- Cost to Crash -- Minimizing Costs -- Assessing and Analyzing Risks -- Risk‐Management Plans -- Managerial Practice 7.1 San Francisco-Oakland Bay Bridge -- Statistical Analysis -- Analyzing Probabilities -- Near‐Critical Paths -- Monitoring and Controlling Projects -- Monitoring Project Status -- Monitoring Project Resources -- Controlling Projects -- Learning Goals in Review -- MyLab Operations Management Resources -- Key Equations -- Key Terms -- Solved Problems -- Discussion Questions -- Problems -- Active Model Exercise -- Video Case Project Management at Choice Hotels International -- Case The Pert Mustang -- PART 2 Managing Customer Demand -- 8 FORECASTING -- Kimberly‐Clark -- Managing Demand -- Demand Patterns -- Demand Management Options -- Key Decisions on Making Forecasts -- Deciding What to Forecast -- Choosing the Type of Forecasting Technique -- Forecast Error -- Cumulative Sum of Forecast Errors -- Dispersion of Forecast Errors -- Mean Absolute Percent Error -- Computer Support -- Judgment Methods -- Causal Methods: Linear Regression -- Time‐Series Methods -- NaÏve Forecast -- Horizontal Patterns: Estimating the Average -- Trend Patterns: Using Regression -- Seasonal Patterns: Using Seasonal Factors -- Criteria for Selecting Time‐Series Methods -- Insights into Effective Demand Forecasting -- Big Data -- Managerial Practice 8.1 Big Data and Health Care Forecasting -- A Typical Forecasting Process -- Using Multiple Forecasting Methods -- Adding Collaboration to the Process -- Forecasting as a Nested Process -- Learning Goals in Review -- MyLab Operations Management Resources -- Key Equations -- Key Terms -- Solved Problems -- Discussion Questions -- Problems -- Video Case Forecasting and Supply Chain Management at Deckers Outdoor Corporation…”

Tabla de Contenidos: “…Reporting Programs -- Communication -- DAHS QUALITY ASSURANCE -- SUMMARY -- CHAPTER 11 CERTIFYING CEM SYSTEMS -- PART 60 PERFORMANCE SPECIFICATIONS AND TEST PROCEDURES -- Installation Specifications -- PART 60 DESIGN SPECIFICATIONS FOR GAS MONITORING SYSTEMS -- Span -- Calibration Drift Capability -- PART 60 PERFORMANCE SPECIFICATIONS FOR GAS MONITORS -- Performance Specification Test (PST) Procedures in the United States and Canada -- The Calibration Drift (Error) Test -- Part 60 Calibration Drift Calculations -- The Linearity (Measurement Error) Test -- The Environment Canada Calibration Drift Test -- Cycle Time/Response Time Test -- Dynamic Spiking Test (Method of Standard Additions) -- The Relative Accuracy Test -- Bias Tests -- Relative Accuracy Procedure as a Percentage of the Emission Limit -- Relative Accuracy as a Percentage of Certified Gas Concentration (Alternative Procedures) -- The Relative Accuracy Test Report -- Causes for Failure of a Relative Accuracy Test -- PART 75 PERFORMANCE REQUIREMENTS -- PART 63.8 MONITORING REQUIREMENTS -- ENVIRONMENT CANADA EPS/1/PG/7 CEM GUIDELINES -- INTERNATIONAL APPROACHES TO CEM SYSTEM CERTIFICATION AND APPROVAL -- International Standards Organization (ISO) Standards for Gas Monitoring Systems -- The European Union EN 14181 Standard for Automated Monitoring Systems -- DEVELOPING CEM CERTIFICATION PROCEDURES AND STANDARDS -- CHAPTER 12 MONITORING FOR MERCURY -- MERCURY ISSUES -- MERCURY REGULATIONS -- Coal-Fired Electric Generating Units -- Cement Plants -- Municipal Waste Combustors and Incinerators -- Canadian Mercury Regulations -- Mercury Emissions Outside of North America -- MERCURY MONITORING -- Analytical Methods for Mercury Monitoring…”

Tabla de Contenidos: “…Enabling Smart Bins -- Adding metadata manually -- Using Face Detection on the Cut page -- Summary -- Questions -- Further reading -- Glossary -- Artificial intelligence (AI) -- Archive -- B-roll -- Bins -- Cache -- Caching -- Clip -- Code -- Color cast -- Color grading -- Color management -- Color model -- Color space -- Color temperature -- Colorist -- Composition -- Continuity editing -- Cut -- Cutaway -- Cut-in -- Data -- Database -- Digital audio workstation (DAW) -- Exposure -- Exposure controls -- Frame rate/FPS -- Frames -- Framing -- Gamma -- Graphics -- Greenscreen -- Gray card -- Hard disk drive (HDD) -- ISO -- J-cut -- L-cut -- Lead room -- Looking room -- Media -- Neural Engine -- Neutral -- Non-linear editor (NLE) -- Plugins -- Project -- Reaction shot -- Render -- Resolve -- Run and gun -- Solid state drive (SSD) -- Sound effects (SFX) -- Split edit -- Stills -- Thumbnail -- Three-point edit -- Timeline -- Tools -- Transitions -- Visual effects (VFX) -- White balance -- Answers to Questions -- Chapter 1, Getting Started with Resolve - Publishing Your First Cut -- Chapter 2, Adding Titles and Motion Graphics -- Chapter 3, Polishing the Camera Audio - Getting It in Sync -- Chapter 4, Adding Narration, Voice Dubbing, and Subtitles -- Chapter 5, Creating Additional Sound -- Chapter 6, Working with Archive Footage -- Chapter 7, Stabilizing Shaky Footage -- Chapter 8, Hiding the Cut: Making our Edit Invisible -- Chapter 9, Adding Special Effects -- Chapter 10, Split Screens and Picture-in-Picture -- Chapter 11, Enhancing Color for Mood or Style -- Chapter 12, Studio-Only Techniques - so much quicker -- Index -- About Packt -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Keyframe conventions -- Keyframing in the viewer -- Adding new keyframes -- Selecting linear or smooth curves -- Viewer keyframe controls -- Keyframing video animation -- Ken Burns on steroids -- Summary -- Chapter 14: Understanding the Principles of Color -- Color theory -- Color classification -- Color values -- The color wheel -- Color wheels in Final Cut Pro -- Color Board -- Color wheels -- Highlights wheel -- Color harmony -- Common color schemes -- Color schemes for non-designers -- Online color calculators -- Monitoring color accuracy -- Color-accurate monitors -- Monitor calibration -- Color correction and grading -- Adjusting temperature, tint, and hue -- Subtractive model of color mixing (CMYK model) -- Using HSL tuning for color grading -- Automatic color correction controls in Final Cut Pro -- Summary -- Chapter 15: Using Color Scopes for Advanced Color Correction -- Displaying the scopes -- Waveformmonitor -- Vectorscope -- Histogram -- The Video Scope menu -- Scopes workflow in Final Cut Pro -- Step 1 - exposure correction -- Step 2 - saturation control -- Step 3 - color balance -- Color curves -- Luma curve -- All color curves - RGB -- The eyedropper -- Hue and saturation curves -- HUE vs HUE -- HUE vs SAT -- HUE vs LUMA -- LUMA vs SAT -- SAT vs SAT -- ORANGE vs SAT -- Color and shape masks -- Summary -- Part 4: Outside Final Cut Pro -- Chapter 16: Your Job Role - Collaboration -- Understanding the job roles in video production -- The production team -- The postproduction editing team -- Exploring the industries that require video editors -- Corporate -- Social media -- Movies and TV -- Documentary -- Commercials -- Trailers -- Should you be a freelancer? …”

Tabla de Contenidos: “…Doing Agile -- Why Only Adopting the Practices of Agile Won't Work -- Use Systems Thinking to Change Behavior -- The Fundamentals of Systems Thinking -- Tools for Exploring and Understanding Systems -- Applying Systems Thinking to Organizational Change -- Changing Leaders' Mental Models -- Systems Thinking vs. Linear Thinking -- The Problems with Command-and-Control Leadership and Management -- The Beyond Budgeting Movement -- Leadership Principles to Instill Intrinsic Motivation…”

Tabla de Contenidos: “…Advanced driver assistance systems (ADAS) -- Summary -- Chapter 3: Exploring ML Algorithms -- Technical requirements -- How machines learn -- Overview of ML algorithms -- Consideration for choosing ML algorithms -- Algorithms for classification and regression problems -- Linear regression algorithms -- Logistic regression algorithms -- Decision tree algorithms -- Random forest algorithm -- Gradient boosting machine and XGBoost algorithms -- K-nearest neighbor algorithm -- Multi-layer perceptron (MLP) networks -- Algorithms for clustering -- Algorithms for time series analysis -- ARIMA algorithm -- DeepAR algorithm -- Algorithms for recommendation -- Collaborative filtering algorithm -- Multi-armed bandit/contextual bandit algorithm -- Algorithms for computer vision problems -- Convolutional neural networks -- ResNet -- Algorithms for natural language processing (NLP) problems -- Word2Vec -- BERT -- Generative AI algorithms -- Generative adversarial network -- Generative pre-trained transformer (GPT) -- Large Language Model -- Diffusion model -- Hands-on exercise -- Problem statement -- Dataset description -- Setting up a Jupyter Notebook environment -- Running the exercise -- Summary -- Chapter 4: Data Management for ML -- Technical requirements -- Data management considerations for ML -- Data management architecture for ML -- Data storage and management -- AWS Lake Formation -- Data ingestion -- Kinesis Firehose -- AWS Glue -- AWS Lambda -- Data cataloging -- AWS Glue Data Catalog -- Custom data catalog solution -- Data processing -- ML data versioning -- S3 partitions -- Versioned S3 buckets -- Purpose-built data version tools -- ML feature stores -- Data serving for client consumption -- Consumption via API -- Consumption via data copy -- Special databases for ML -- Vector databases -- Graph databases -- Data pipelines…”

Tabla de Contenidos: “…7.8 Predefined Streams -- 7.9 Two-Dimensional Array and Operations -- 7.9.1 Insert Operation with Two-Dimensional Array -- 7.9.2 Delete Operation With Two-Dimensional Array -- 7.10 Three- or Multi- Dimensional Arrays -- 7.11 The sscanf () and sprintf () functions -- 7.12 Draw backs of Linear Arrays -- Summary -- Exercises -- Chapter 8: Strings -- 8.1 Introduction -- 8.2 Declaration and Initialization of String -- 8.3 Display of Strings with Different Formats -- 8.4 String Standard Functions -- 8.5 String Conversion Functions -- 8.6 Memory Functions -- 8.7 Applications of Strings -- Summary -- Exercises -- Part IV: Pointers and Functions -- Chapter 9: Pointers -- 9.1 Introduction -- 9.2 Features of Pointers -- 9.3 Pointers and Address -- 9.4 Pointer Declaration -- 9.5 Void Pointers -- 9.6 Wild Pointers -- 9.7 Constant Pointers -- 9.8 Arithmetic Operations with Pointers -- 9.9 Pointers and Arrays -- 9.10 Pointers and Two-Dimensional Arrays -- 9.11 Array of Pointers -- 9.12 Pointers to Pointers -- 9.13 Pointers and Strings -- Summary -- Exercises -- Chapter 10: Functions -- 10.1 Introduction -- 10.2 Basics of a Function -- 10.2.1 Why Use Functions? …”

Tabla de Contenidos: “…Finding Waldo in a Sea of Striped Hats -- Grabbing That Cash -- Insuring That Quantum Makes Its Mark -- Making the World Go Round with Logistics -- Dreaming of Machines Learning -- Searching for the New Oil in Quantum -- Making Materialism Matter -- Simulating Our Way to Better Health -- Finding New Pharmaceuticals -- Forecasting Future Fog -- Chapter 14 Quantum Computing Algorithms -- Mapping Quantum Computing Algorithms to Applications -- Understanding the Basics of Quantum Algorithms -- Mapping algorithms to use cases -- Investing in research -- Visiting the Quantum Zoo -- Finding New Kinds of Time -- Starting with the Deutsch-Jozsa Algorithm -- Making Shor Quantum Computing Will Be Big -- Searching with Grover -- Using the Quantum Phase Estimation Algorithm -- Applying Simon's Algorithm -- Implementing the Quantum Fourier Transform (QFT) Algorithm -- Stepping into Vaidman's Quantum Zeno Effect -- Getting Linear with the HHL Algorithm -- Solving and Simulating with QAOA -- Getting Grounded with VQE -- Assessing Additional Algorithms -- Identifying What's Ahead -- Chapter 15 Cloud Access Options -- Exploring the Major Types of Options -- Grouping public cloud providers -- Examining quantum computer manufacturers -- Looking at access providers -- Noting the Importance of Amazon Braket -- Counting on Azure Quantum -- Investigating Google Quantum AI -- Opening Quantum Computer Vendor's Portals -- Unlocking Quantum Potential with Strangeworks -- Perusing a classical catalog of quantum technologies -- Exploring compute providers -- Understanding managed applications -- Chapter 16 Educational Resources -- Connecting with Online Classes -- MIT Quantum Information Sciences -- Quantum Cryptography -- The Quantum Internet and Quantum Computers: How Will They Change the World? …”

Tabla de Contenidos: “…Weights -- Introduction -- Linear Blend Skinning -- Vertex Groups -- Armature Modifier -- Binding -- Fixing the Heat Map Failed Error -- Normalize Weights -- Smooth Weights -- Mirror Weights -- Limit Total -- Weight Paint Mode -- Bone Manipulation -- Vertex and Mesh Selection -- Display Settings -- Influence Lock -- Assign Automatic From Bones -- Set Weights -- Weight Paint Tools -- Brush Presets -- Brush Settings -- Draw -- Blur -- Average -- Smear -- Gradient -- Falloff -- Symmetry -- Options -- Useful Shortcuts -- 17. …”

“…The book provides a comprehensive exploration of operational amplifiers (op-amps) and their myriad applications in both linear and non-linear circuits. Beginning with a foundational introduction to op-amps, the text delves into linear circuits, followed by an examination of non-linear circuits. …”