Tabla de Contenidos: “…Comparing the two versions -- The third example - the merge sort algorithm -- Shared classes -- The serial version -- The SerialMergeSort class -- The SerialMetaData class -- The concurrent version -- The MergeSortTask class -- The ConcurrentMergeSort class -- The ConcurrentMetaData class -- Comparing the two versions -- Other methods of the fork/join framework -- Summary -- Chapter 8: Processing Massive Datasets with Parallel Streams - The Map and Reduce Model -- An introduction to streams -- Basic characteristics of streams -- Sections of a stream -- Sources of a stream -- Intermediate operations -- Terminal operations -- MapReduce versus MapCollect -- The first example - a numerical summarization application -- The concurrent version -- The ConcurrentDataLoader class -- The ConcurrentStatistics class -- Customers from the United Kingdom -- Quantity from the United Kingdom -- Countries for product -- Quantity for product -- Multiple data filter -- Highest invoice amounts -- Products with a unit price between 1 and 10 -- The ConcurrentMain class -- The serial version -- Comparing the two versions -- The second example - an information retrieval search tool -- An introduction to the reduction operation -- The first approach - full document query -- The basicMapper() method -- The Token class -- The QueryResult class -- The second approach - reduced document query -- The limitedMapper() method -- The third approach - generating an HTML file with the results -- The ContentMapper class -- The fourth approach - preloading the inverted index -- The ConcurrentFileLoader class -- The fifth approach - using our own executor -- Getting data from the inverted index - the ConcurrentData class -- Getting the number of words in a file -- Getting the average tfxidf value in a file -- Getting the maximum and minimum tfxidf values in the index…”

Tabla de Contenidos: “…Understanding Investment Returns -- Sizing Investment Risks -- Comparing the risks of stocks and bonds -- Focusing on the risks you can control -- Discovering low-risk, high-return investments -- Diversifying Your Investments -- Spreading the wealth: Asset allocation -- Allocating money for the long term -- Sticking with your allocations: Don't trade -- Investing lump sums via dollar-cost averaging -- Acknowledging Differences among Investment Firms -- Focusing on the best firms -- Places to consider avoiding -- Seeing through Experts Who Predict the Future -- Investment newsletters -- Investment gurus -- Leaving You with Some Final Advice -- Chapter 9 Understanding Your Investment Choices -- Slow and Steady Investments -- Transaction/checking accounts -- Savings accounts and money-market funds -- Bonds -- Building Wealth with Ownership Vehicles -- Socking your money away in stocks -- Investing internationally in stocks -- Generating wealth with real estate -- Investing in small business (and your career) -- Off the Beaten Path: Investment Odds and Ends -- Precious metals -- Bitcoin and other cryptocurrencies -- Annuities -- Collectibles -- Chapter 10 Investing in Funds -- Understanding the Benefits of Mutual Funds and Exchange-Traded Funds -- Exploring Various Fund Types -- Money-market funds -- Bond funds -- Stock funds -- Balancing bonds and stocks: Hybrid funds -- U.S., international, and global funds -- Index funds -- Specialty (sector) funds -- Selecting the Best Funds -- Reading prospectuses and annual reports -- Keeping costs low -- Evaluating historic performance -- Assessing fund manager and fund family reputations -- Rating tax friendliness -- Determining your needs and goals -- Deciphering Your Fund's Performance -- Dividends -- Capital gains -- Share price changes -- Evaluating and Selling Your Funds…”

Tabla de Contenidos: “…Inventory Costing -- Working with Inventoriable Costs -- Using the matching principle to calculate profit on sale -- Erring on the conservative side -- Costing Methods for Inventory -- Using the first-in, first-out (FIFO) method -- Accounting with the last-in, first-out (LIFO) method -- Weighing the merits of weighted-average cost -- Considering specific identification method -- Analyzing profit using FIFO and LIFO -- Using Variable and Absorption Costing to Allocate Fixed Manufacturing Costs -- Defining period costs and product costs -- Applying variable and absorption costing -- Relating Capacity Issues to Inventory -- Reviewing theoretical and practical capacity -- Understanding capacity issues for e-commerce firms -- Using normal and master-budget capacity -- Choosing a capacity level -- Part 3 Making Decisions -- Chapter 10 Cost Drivers and Cost Estimation Methods -- Working with Cost Behavior -- Understanding linear and nonlinear cost functions -- Discovering how cost drivers determine total costs -- Considering Cost Estimation Methods -- Walking through the industrial engineering method -- Agreeing on the conference method…”

Tabla de Contenidos: “…10.3 Issues, Challenges and Problem Statement -- 10.3.1 Time and Memory Constraints -- 10.3.2 Class Imbalance -- 10.3.3 Concept Drift -- 10.4 Cybersecurity and IoT -- 10.5 Conclusion -- Chapter 11 A Study on Image Detection and Extraction to Estimate Distracted Drivers Using CNN and IoT -- 11.1 Introduction -- 11.2 Motivations -- 11.3 Literature Survey or Related Work -- 11.4 Existing System -- 11.5 Methodology and Objectives -- 11.5.1 Device Initialisation Module -- 11.5.2 Drowsiness Detection Module -- 11.5.3 Alert Module -- 11.6 Proposed System -- 11.7 Face Detection Using OpenCV -- 11.8 Search Strategy -- 11.9 Conclusion -- 11.10 Future Enhancement -- Chapter 12 Social Engineering: Cyberattacks, Countermeasures, and Conclusions -- 12.1 Introduction -- 12.2 Case Study on Social Engg Attack-IBMReport [25] -- 12.2.1 The Cost of Average Social Engineering-Related Breach -- 12.3 Methodology and Detection -- 12.3.1 Social Engineering Toolkit for SMS Spoofing -- 12.3.2 SMS Spam Message Detection with Term Frequency-Inverse Document Frequency (TF-IDF) and Random Forest Algorithm -- 12.4 Results -- 12.5 Conclusion -- 12.6 Acknowledgment -- Index…”

Tabla de Contenidos: “…-- Benefits of algorithmic trading -- Big data in the financial market -- Algorithmic trading strategies -- Building an Expert Advisor -- MetaTrader -- Downloading and setting up MetaTrader -- MetaQuotes language -- Trading bot objective -- Practical -- Trading pattern - moving average -- Decision time: buy or sell -- Complete program -- Backtesting in MetaTrader 4 -- Summary -- Chapter 19: Retail Recommendation System -- Types of recommendation system -- Collaborative filtering -- Content-based filtering -- Demographic-based system -- Utility-based system -- Knowledge-based system -- Hybrid model -- Commercial tools -- Barilliance -- Softcube -- Strands -- Monetate -- Nosto -- Book recommendation system -- Dataset -- Directory structure -- Code -- Reading the dataset -- Verifying the dataset -- Data analysis -- Age group -- Commutative rating…”

Tabla de Contenidos: “…. -- See also -- Chapter 4: Convolutional Neural Networks -- Introduction -- Local receptive fields -- Shared weights and bias -- A mathematical example -- ConvNets in TensorFlow -- Pooling layers -- Max pooling -- Average pooling -- ConvNets summary -- Creating a ConvNet to classify handwritten MNIST numbers -- Getting ready -- How to do it... -- How it works... -- Creating a ConvNet to classify CIFAR-10 -- Getting ready -- How to do it... -- How it works... -- There's more... -- Transferring style with VGG19 for image repainting -- Getting ready -- How to do it... -- How it works... -- There's more... -- Using a pretrained VGG16 net for transfer learning -- Getting ready -- How to do it... -- How it works... -- There's more... -- Creating a DeepDream network -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 5: Advanced Convolutional Neural Networks -- Introduction -- Creating a ConvNet for Sentiment Analysis -- Getting ready -- How to do it... -- How it works... -- There is more... -- Inspecting what filters a VGG pre-built network has learned -- Getting ready -- How to do it... -- How it works... -- There is more…”

Tabla de Contenidos: “…Imbalanced data -- The size of the object within an image -- The difference between training and validation data -- The number of nodes in the flatten layer -- Image size -- OpenCV utilities -- Summary -- Questions -- Chapter 7: Basics of Object Detection -- Introducing object detection -- Creating a bounding-box ground truth for training -- Understanding region proposals -- Leveraging SelectiveSearch to generate region proposals -- Implementing SelectiveSearch to generate region proposals -- Understanding IoU -- Non-max suppression -- Mean average precision -- Training R-CNN-based custom object detectors -- Working details of R-CNN -- Implementing R-CNN for object detection on a custom dataset -- Downloading the dataset -- Preparing the dataset -- Fetching region proposals and the ground truth of offset -- Creating the training data -- R-CNN network architecture -- Predicting on a new image -- Training Fast R-CNN-based custom object detectors -- Working details of Fast R-CNN -- Implementing Fast R-CNN for object detection on a custom dataset -- Summary -- Questions -- Chapter 8: Advanced Object Detection -- Components of modern object detection algorithms -- Anchor boxes -- Region proposal network -- Classification and regression -- Training Faster R-CNN on a custom dataset -- Working details of YOLO -- Training YOLO on a custom dataset -- Installing Darknet -- Setting up the dataset format -- Configuring the architecture -- Training and testing the model -- Working details of SSD -- Components in SSD code -- SSD300 -- MultiBoxLoss -- Training SSD on a custom dataset -- Summary -- Questions -- Chapter 9: Image Segmentation -- Exploring the U-Net architecture -- Performing upscaling -- Implementing semantic segmentation using U-Net -- Exploring the Mask R-CNN architecture -- RoI Align -- Mask head…”

Tabla de Contenidos: “…. -- See also -- Implementing an efficient rolling average algorithm with stride tricks -- Getting ready -- How to do it... -- See also -- Making efficient array selections in NumPy -- Getting ready -- How to do it... -- How it works... -- There's more... -- Processing huge NumPy arrays with memory mapping -- How to do it... -- How it works... -- There's more... -- See also -- Manipulating large arrays with HDF5 and PyTables -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Manipulating large heterogeneous tables with HDF5 and PyTables -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- 5. …”

Tabla de Contenidos: “…Monitoring MongoDB -- Monitoring Memory Usage -- Introduction to Computer Memory -- Tracking Memory Usage -- Tracking Page Faults -- Minimizing Btree Misses -- IO Wait -- Tracking Background Flush Averages -- Calculating the Working Set -- Some Working Set Examples -- Tracking Performance -- Tracking Free Space -- Monitoring Replication -- Chapter 22. …”

Tabla de Contenidos: “…Governments Expenditure -- Export -- Consumption in the Process of Import Distribution -- Monetary Policy and Liquidity -- Inflation -- Interest Rates -- International Influences -- Consumer Sentiment -- Fiscal Policy -- Long-term Growth Expectations -- Technology Effect -- Labour Effect -- Capital Effect -- One Contributing Factors -- Influences on Short-term Expectations -- Forecasting Models -- Structural or Cross-sectional Econometric Models -- Time Series Econometric Models -- Structural Time Series Models-A Hybrid -- Applications of Economic Analysis -- Economic Analysis and International Investment -- Cross-border Investments -- International Comparison of Institutional Investors -- Summary -- Concepts -- Short Questions -- Essay Questions -- Case Study -- Chapter 10: Fundamental Analysis II: Industry Analysis -- Standard Industrial Classification (SIC) -- Links between the Economy and Industry Sectors -- The Stock Market and the Business Cycle -- Data Needs for an Industry Analysis -- Data Categories -- Tools for Industry Analysis -- Cross-sectional Industry Performance -- Industry Performance over Time -- Differences in Industry Risk -- Prediction about Market Behaviour -- Quantitative Industry Analysis -- Analyzing Employment Data -- Data Selection -- Estimating the Duration of Analysis -- Estimating a Base Year -- Quantitative Tools for Analyzing Employment Status -- Analysis of Emoluments Data -- Total Emoluments by Industry -- Emoluments per Employee by Industry -- Change in Emolument per Employee by Industry -- National Comparison of Average Emolument per Employee -- Input-Output Analysis -- Industry Earning Data Analysis -- Infrastructure Sector -- Indian Textile Industry -- Spinning Industry -- Weaving and Knitting Industry -- Indian Fabric Processing Industry -- Garment Manufacturing Sector -- Steel Industry -- Cyclical Industries…”

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: “…-- 8.3 Business Cycle Facts -- The Cyclical Behavior of Economic Variables: Direction and Timing -- Production -- Expenditure -- Employment and Unemployment -- Application The Job Finding Rate and the Job Loss Rate -- Average Labor Productivity and the Real Wage -- Money Growth and Inflation -- Financial Variables -- International Aspects of the Business Cycle -- In Touch with Data and Research: Coincident and Leading Indexes -- 8.4 Business Cycle Analysis: A Preview -- In Touch with Data and Research: The Seasonal Cycle and the Business Cycle -- Aggregate Demand and Aggregate Supply: A Brief Introduction -- Chapter 9 The IS-LM/AD-AS Model: A General Framework for Macroeconomic Analysis -- 9.1 The FE Line: Equilibrium in the Labor Market -- Factors That Shift the FE Line -- 9.2 The IS Curve: Equilibrium in the Goods Market -- Factors That Shift the IS Curve -- 9.3 The LM Curve: Asset Market Equilibrium -- The Interest Rate and the Price of a Nonmonetary Asset -- The Equality of Money Demanded and Money Supplied -- Factors That Shift the LM Curve -- 9.4 General Equilibrium in the Complete IS-LM Model -- Applying the IS-LM Framework: A Temporary Adverse Supply Shock -- Application The Oil Price Shock of 2008 -- In Touch with Data and Research: Econometric Models and Macroeconomic Forecasts for Monetary Policy Analysis -- 9.5 Price Adjustment and the Attainment of General Equilibrium -- The Effects of a Monetary Expansion -- Classical Versus Keynesian Versions of the IS-LM Model -- 9.6 Aggregate Demand and Aggregate Supply -- The Aggregate Demand Curve -- The Aggregate Supply Curve -- Equilibrium in the AD-AS Model -- Monetary Neutrality in the AD-AS Model -- Appendix 9.A Worked-Out Numerical Exercise for Solving the IS-LM/AD-AS Model…”

Tabla de Contenidos: “…-- Part 4 How Companies Optimize Operations -- Chapter 14 Turning Up Clues in Turnover and Assets -- Exploring Inventory Valuation Methods -- Applying Three Inventory Valuation Methods -- Average costing -- FIFO -- LIFO -- How to compare inventory methods and financial statements -- Determining Inventory Turnover…”

Tabla de Contenidos: “…EXTRACTIVE SYSTEMS -- CHAPTER 7 FLOW RATE MONITORS -- REFERENCE METHODS FOR VOLUMETRIC FLOW -- Type-S Pitot Tube (Method 2) -- Three-Dimensional Pitot Tubes (Method 2F) -- Yaw-Nulling (Method 2G) -- Wall-Effect Measurements (Method 2H and CTM-041) -- Vane Anemometers -- Tracer Gas Dilution -- CONTINUOUS FLOW MONITORING METHODS -- Single Type-S Pitot Tube -- Averaging Differential Pressure Probes -- Thermal Mass Flowmeters -- Ultrasonic Flow Monitors -- Time-of-Flight Methods -- OTHER METHODS -- The Stack Venturi -- Physical Models -- Computational Fluid Dynamics -- Determination of Flow Rates from Engineering Calculations -- MONITORING FLOW IN PIPES -- CALIBRATING FLOW MONITORING SYSTEMS -- The "Pre-RATA" and the K Factor -- Problems in Calibrating Against a Reference Method -- PERFORMANCE SPECIFICATIONS FOR FLOW MONITOR CERTIFICATION -- Part 60 Appendix B Performance Specification 6 -- Part 75 Appendix A Specifications. -- Environment Canada Specifications -- EN-ISO 16911 Specifications -- FLOW MONITOR QUALITY ASSURANCE -- Daily Calibration Checks -- Daily Interference Checks -- Quarterly Leak Checks -- Flow-to-Load Ratio Test -- Semiannual/Annual RATA -- CHAPTER 8 OPACITY MONITORS -- BASIC COMPONENTS OF TRANSMISSOMETERS -- DESIGN SPECIFICATIONS AND MANUFACTURER'S PERFORMANCE SPECIFICATIONS FOR OPACITY MONITORS -- Opacity Monitoring Specific Design Criteria -- Manufacturers' Performance Specification Tests…”

Tabla de Contenidos: “…. -- Performing smoothing - moving average -- Getting ready -- How to do it... -- How it works... -- See also... -- Performing smoothing - exponential smoothing -- Getting ready -- How to do it... -- How it works... -- See also... -- Performing stationarity checks on time series data -- Getting ready -- How to do it... -- How it works... -- See also... -- Differencing time series data -- Getting ready -- How to do it... -- How it works... -- Getting ready -- How to do it... -- How it works... -- See also... -- Chapter 8: Analysing Text Data in Python -- Technical requirements -- Preparing text data -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also... -- Dealing with stop words -- Getting ready -- How to do it... -- How it works... -- There's more... -- Analyzing part of speech -- Getting ready -- How to do it... -- How it works... -- Performing stemming and lemmatization -- Getting ready -- How to do it... -- How it works... -- Analyzing ngrams -- Getting ready -- How to do it... -- How it works... -- Creating word clouds -- Getting ready -- How to do it... -- How it works... -- Checking term frequency -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Checking sentiments -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…3 Results And Discussion -- 3.1 Cycle average pressure ratio and efficiency -- 3.2 Static pressure measurement for one pulse -- 3.3 OP C &amp -- x02018 -- filling and emptying&amp -- x02019 -- effect volute -- 3.4 Quasi-steady vs unsteady OP A and OP C -- 4 Conclusion -- References -- Design and optimization of compressor for a fuel cell system on a commercial truck under real driving conditions -- 1 Introduction -- 2 System-Level Simulation In Real Driving Conditions -- 3 Compressor Meanline Design Optimization -- 4 Compressor Components Design -- 4.1 Impeller design -- 4.2 Volute design -- 4.3 Steady CFD analysis -- 5 Compressor Components Optimization -- 5.1 Impeller optimization -- 5.2 Volute optimization -- 5.3 Steady CFD analysis of optimized compressor stage -- 5.4 Static structural analysis -- 6 Final Performance Evaluation In System Model -- 7 Conclusions -- Nomenclature -- References -- Turbine design considerations -- Turbine design considerations -- 1 Introduction -- 2 Numerical Method -- 3 Analysis Of Influence Of Bypass Flow On Turbine Performance -- 4 Influence Of Bypass Flow On Flow Interactions -- 4.1 Flow field analysis of the inter-stage pipe -- 4.2 Flow field analysis of the volute -- 4.3 Flow field analysis of the rotor -- 5 Conclusions -- References -- A 3D inverse design based rapid multi-disciplinary optimization strategy for radial-inflow turbines -- 1 Introduction -- 2 Optimisation Methodology -- 3 Baseline CFD And FEA Analysis -- 4 Inverse Design Based Aerodynamic And Mechanical Performance Parameters -- 5 Direct Optimisation And Results -- 6 Conclusions -- Nomenclature -- References -- Experimental investigations -- Experimental investigations -- 1 Introduction -- 2 Parametric Model And Optimisation -- 2.1 Nozzle parametrisation -- 2.2 Radial fibre rotor parametrisation -- 2.3 Non-radial fibre rotor parametrisation…”

Tabla de Contenidos: “…Die kurdische Frage und der kurdische Kampf um Selbstbestimmung -- 3.1 Kurdistan und seine Bevölkerung -- 3.1.1 Bevölkerungszusammensetzung Kurdistans -- 3.1.2 Sprachliche Vielfalt -- 3.2 Die kurdische Frage in Nordkurdistan und der Türkei -- 3.2.1 Die Kurd:innen während des Zerfalls des Osmanischen Reiches -- 3.2.2 Das Ende des Ersten Weltkriegs und die Vierteilung Kurdistans -- 3.2.3 Folgen der Republikgründung für die Kurd:innen -- 3.2.4 Das Scheitern der frühen kurdischen Aufstände -- Der Kocgiri‐Aufstand -- Der Sex Seid Aufstand -- Die Xoybun‐Partei und der Ararat‐Aufstand -- Das letzte Aufbäumen kurdischer Stämme - Der Dersim‐Aufstand -- 3.2.5 Das Wiederaufflammen der kurdischen Frage -- 3.2.6 Debatten über die kurdische Frage innerhalb der türkischen Linken -- 3.2.7 Die Jahre zwischen den Militärputschen -- 3.3 Die kurdische Frage in Rojava und Syrien -- 3.3.1 Gründung Syriens und die neue innerkurdische Grenze…”

Tabla de Contenidos: “…Understanding Valuation Fundamentals -- Estimating Cash Flows -- Cost of capital, or weighted average cost of capital (WACC) -- NPV, the Net Present Value -- Real Options -- Market Multiples -- Making Better M&amp -- A Decisions -- What do we know about M&amp -- As through empirical studies? …”

Tabla de Contenidos: “…Cover -- Copyright -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Machine Learning and Python -- An introduction to machine learning -- Understanding why we need machine learning -- Differentiating between machine learning and automation -- Machine learning applications -- Knowing the prerequisites -- Getting started with three types of machine learning -- A brief history of the development of machine learning algorithms -- Digging into the core of machine learning -- Generalizing with data -- Overfitting, underfitting, and the bias-variance trade-off -- Overfitting -- Underfitting -- The bias-variance trade-off -- Avoiding overfitting with cross-validation -- Avoiding overfitting with regularization -- Avoiding overfitting with feature selection and dimensionality reduction -- Data preprocessing and feature engineering -- Preprocessing and exploration -- Dealing with missing values -- Label encoding -- One-hot encoding -- Dense embedding -- Scaling -- Feature engineering -- Polynomial transformation -- Binning -- Combining models -- Voting and averaging -- Bagging -- Boosting -- Stacking -- Installing software and setting up -- Setting up Python and environments -- Installing the main Python packages -- NumPy -- SciPy -- pandas -- scikit-learn -- TensorFlow -- PyTorch -- Summary -- Exercises -- Chapter 2: Building a Movie Recommendation Engine with Naïve Bayes -- Getting started with classification -- Binary classification -- Multiclass classification -- Multi-label classification -- Exploring Naïve Bayes -- Bayes' theorem by example -- The mechanics of Naïve Bayes -- Implementing Naïve Bayes -- Implementing Naïve Bayes from scratch -- Implementing Naïve Bayes with scikit-learn -- Building a movie recommender with Naïve Bayes -- Preparing the data -- Training a Naïve Bayes model…”

Tabla de Contenidos: “…Meters -- Amplitude vs. level -- Mechanical and bar meters -- Peak meters -- Average meters -- Phase meters -- 10. Mixing consoles -- Buses -- Processors vs. effects -- Processors -- Effects -- Connecting processors and effects -- Basic signal flow -- Step 1: Faders, pan-pots, and cut switch -- Step 2: Line gains, phase-invert, and clip indicators -- Step 3: Onboard processors -- Step 4: Insert points -- The importance of signal flow diagrams -- Step 5: Auxiliary sends -- Step 6: FX returns -- Groups -- Control grouping -- VCA grouping -- Audio grouping…”