Tabla de Contenidos: “…The Type Promotion Rules -- Arrays -- One-Dimensional Arrays -- Multidimensional Arrays -- Alternative Array Declaration Syntax -- Introducing Type Inference with Local Variables -- Some var Restrictions -- A Few Words About Strings -- Chapter 4 Operators -- Arithmetic Operators -- The Basic Arithmetic Operators -- The Modulus Operator -- Arithmetic Compound Assignment Operators -- Increment and Decrement -- The Bitwise Operators -- The Bitwise Logical Operators -- The Left Shift -- The Right Shift -- The Unsigned Right Shift -- Bitwise Operator Compound Assignments -- Relational Operators -- Boolean Logical Operators -- Short-Circuit Logical Operators -- The Assignment Operator -- The ? …”

Tabla de Contenidos: “…Active share -- Value at risk (VaR) -- Risk‐adjusted Return -- M2 -- M2 excess return -- Differential return -- Adjusted M2 -- Skew‐adjusted M2 -- Types of Excess Return (or Alpha) -- A Periodic Table of Risk Measures -- Periodic table design -- Why measure ex‐post risk? …”

Tabla de Contenidos: “…Analyzing this biography of JavaScript -- I.4. To code without "var", nor "for", nor "new" -- I.4.1. Comments -- I.4.2. …”

Tabla de Contenidos: “…7.3 Forecasting a non-stationary times series -- 7.4 Next steps -- 7.5 Exercises -- 7.5.1 Apply the ARIMA(p,d,q) model on the datasets from chapters 4, 5, and 6 -- Summary -- 8 Accounting for seasonality -- 8.1 Examining the SARIMA(p,d,q)(P,D,Q)m model -- 8.2 Identifying seasonal patterns in a time series -- 8.3 Forecasting the number of monthly air passengers -- 8.3.1 Forecasting with an ARIMA(p,d,q) model -- 8.3.2 Forecasting with a SARIMA(p,d,q)(P,D,Q)m model -- 8.3.3 Comparing the performance of each forecasting method -- 8.4 Next steps -- 8.5 Exercises -- 8.5.1 Apply the SARIMA(p,d,q)(P,D,Q)m model on the Johnson &amp -- Johnson dataset -- Summary -- 9 Adding external variables to our model -- 9.1 Examining the SARIMAX model -- 9.1.1 Exploring the exogenous variables of the US macroeconomics dataset -- 9.1.2 Caveat for using SARIMAX -- 9.2 Forecasting the real GDP using the SARIMAX model -- 9.3 Next steps -- 9.4 Exercises -- 9.4.1 Use all exogenous variables in a SARIMAX model to predict the real GDP -- Summary -- 10 Forecasting multiple time series -- 10.1 Examining the VAR model -- 10.2 Designing a modeling procedure for the VAR(p) model -- 10.2.1 Exploring the Granger causality test -- 10.3 Forecasting real disposable income and real consumption -- 10.4 Next steps -- 10.5 Exercises -- 10.5.1 Use a VARMA model to predict realdpi and realcons -- 10.5.2 Use a VARMAX model to predict realdpi and realcons -- Summary -- 11 Capstone: Forecasting the number of antidiabetic drug prescriptions in Australia -- 11.1 Importing the required libraries and loading the data -- 11.2 Visualizing the series and its components -- 11.3 Modeling the data -- 11.3.1 Performing model selection -- 11.3.2 Conducting residual analysis -- 11.4 Forecasting and evaluating the model's performance -- Next steps -- Part 3. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Scala Programming -- Introduction to Scala -- A programming paradigm -- Object-oriented versus functional paradigms -- Scala is multi-paradigm -- Scala advantages -- Runs on JVM -- Super smart syntax -- Best of both worlds -- Type is the core -- Concurrency made easy -- Asynchronous code -- Asynchronous versus parallel versus concurrent programming -- Now available for the frontend -- Smart IDEs -- Extensive language -- Online support -- Working with Scala -- Java installation -- SBT installation -- Scala REPL -- Scala IDEs -- Running our first program -- Summary -- Chapter 2: Building Blocks of Scala -- What is underneath a Scala program? -- Vals and vars -- Literals -- Integer literals -- Floating point literals -- Boolean literals -- Character literals -- String literals -- Symbol literals -- Tuple literals -- Function literals -- Data types -- Scala's class hierarchy -- Any -- AnyVal and AnyRef -- AnyRef -- AnyVal -- Unit -- Boolean -- Null and Nothing -- Type inference -- Operators in Scala -- Arithmetic operators -- Relational operators -- Logical operators -- Bitwise operators -- Operator precedence -- Wrapper classes -- String Interpolators -- The s interpolator -- f Interpolator -- The raw interpolator -- Summary -- Chapter 3: Shaping our Scala Program -- Looping -- The for loop -- The while Loop -- The do while loop -- The for expressions -- The for yield expressions -- Recursion -- Why recursion over iteration? …”

Tabla de Contenidos:

Tabla de Contenidos: “…Model deployment -- Summary -- Clients Chapter 8: Subscription Assessment for Bank Telemarketing using Deep Neural Networks -- Client subscription assessment through telemarketing -- Dataset description -- Installing and getting started with Apache Zeppelin -- Building from the source -- Starting and stopping Apache Zeppelin -- Creating notebooks -- Exploratory analysis of the dataset -- Label distribution -- Job distribution -- Marital distribution -- Education distribution -- Default distribution -- Housing distribution -- Loan distribution -- Contact distribution -- Month distribution -- Day distribution -- Previous outcome distribution -- Age feature -- Duration distribution -- Campaign distribution -- Pdays distribution -- Previous distribution -- emp_var_rate distributions -- cons_price_idx features -- cons_conf_idx distribution -- Euribor3m distribution -- nr_employed distribution -- Statistics of numeric features -- Implementing a client subscription assessment model -- Hyperparameter tuning and feature selection -- Number of hidden layers -- Number of neurons per hidden layer -- Activation functions -- Weight and bias initialization -- Regularization -- Summary -- Chapter 9: Fraud Analytics Using Autoencoders and Anomaly Detection -- Outlier and anomaly detection -- Autoencoders and unsupervised learning -- Working principles of an autoencoder -- Efficient data representation with autoencoders -- Developing a fraud analytics model -- Description of the dataset and using linear models -- Problem description -- Preparing programming environment -- Step 1 - Loading required packages and libraries -- Step 2 - Creating a Spark session and importing implicits -- Step 3 - Loading and parsing input data -- Step 4 - Exploratory analysis of the input data -- Step 5 - Preparing the H2O DataFrame -- Step 6 - Unsupervised pre-training using autoencoder…”

Tabla de Contenidos: “…-- Variablen: const, let und var -- Die wichtigsten Basistypen -- Klassen -- Interfaces -- Template-Strings -- Arrow-Funktionen/Lambda-Ausdrücke -- Spread-Operator und Rest-Syntax -- Union Types -- Destrukturierende Zuweisungen -- Decorators -- Optional Chaining -- Nullish Coalescing -- III BookMonkey 4: Schritt für Schritt zur App -- Projekt- und Prozessvorstellung -- Unser Projekt: BookMonkey -- Projekt mit Angular CLI initialisieren -- Style-Framework Semantic UI einbinden -- Komponenten &amp -- Template-Syntax: Iteration I -- Komponenten: die Grundbausteine der Anwendung -- Komponenten -- Komponenten in der Anwendung verwenden -- Template-Syntax -- Den BookMonkey erstellen -- Property Bindings: mit Komponenten kommunizieren -- Komponenten verschachteln -- Eingehender Datenfluss mit Property Bindings -- Andere Arten von Property Bindings -- DOM-Propertys in Komponenten auslesen -- Den BookMonkey erweitern -- Event Bindings: auf Ereignisse in Komponenten reagieren -- Native DOM-Events -- Eigene Events definieren -- Den BookMonkey erweitern -- Powertipp: Styleguide -- Services &amp -- Routing: Iteration II -- Dependency Injection: Code in Services auslagern -- Abhängigkeiten anfordern -- Services in Angular -- Abhängigkeiten registrieren -- Abhängigkeiten ersetzen…”

Tabla de Contenidos: “…. -- E: Unable to lock the administration directory (/var/lib/dpkg/), are you root? -- Upgrading Asterisk -- Conclusion -- Chapter 4. …”

Tabla de Contenidos: “…See Also -- 5.10 Preventing Accessor and Mutator Methods from Being Generated -- Problem -- Solution -- Discussion -- 5.11 Overriding Default Accessors and Mutators -- Problem -- Solution -- Discussion -- 5.12 Assigning a Block or Function to a (lazy) Field -- Problem -- Solution -- Discussion -- See Also -- 5.13 Setting Uninitialized var Field Types -- Problem -- Solution -- Discussion -- See Also -- 5.14 Generating Boilerplate Code with Case Classes -- Problem -- Solution -- Discussion -- See Also -- 5.15 Defining Auxiliary Constructors for Case Classes -- Problem -- Solution -- See Also -- Chapter 6. …”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Authors -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part I: Basic App Development Using Swift Core Concepts -- Chapter 1: Xcode Introduction -- About Xcode -- Installation and System Requirements -- Interface Introduction -- Chapter Summary -- Chapter 2: CloudKit Overview -- CloudKit at a Glance -- Setting Up CloudKit -- Exploring CloudKit Dashboard -- Accessing the iCloud Dashboard -- Understanding the Dashboard -- Creating Book Tracker Table (Table, type, Indexes) -- Summary -- Chapter 3: Core Swift Concepts -- Variables -- Let and Var -- Basic Types -- Classes, Structures, and Objects -- Array -- Scope -- Functions -- Beautifying Strings Using NSAttributedString -- Life Cycle Methods -- Type Casting -- Step 1: Book Class -- Step 2: Fiction Class Subclass of Book Class -- Step 3: Non-Fiction Class Subclass of Book Class -- Step 4: Define an Object of Type Book Class -- Step 5: Method to Count Fiction or Non-fiction Class -- Loop Controls -- For-In Loops -- For In-Loop with Range -- While Loop -- UI Color -- Overview -- Guidelines for UI Color -- System Colors -- Dynamic System Colors -- Getting System Colors -- Syntax -- Define Using System Defined Color -- Define Using RGB -- CG Color -- UINavigationBar -- UIImage and UIImageView -- How to Create an UIImage View -- UI Image View Key Properties -- Key Methods -- UITextField -- How To Create an UITextField -- UITextField View Key Properties -- Key Methods -- UIAlertController -- Defining an Alert -- Alert Action and Working with User Action -- Alert Display -- UITableView -- Creating a Table View -- Delegate Methods -- Setting the Table -- Drawing the Table -- Displaying a Table -- Selection of Row -- Table Header -- Cell Heights -- Swiping Function -- Summary -- Chapter 4: Book Tracker Basic App Building…”

Tabla de Contenidos: “…9.5.1 Findings: Vehicle Detection Across Multiple Images -- 9.5.2 Findings: Vehicle Detection Performance on an MP4 File -- 9.5.3 Findings: Vehicle Detection on Livestream Camera -- 9.5.4 Findings: Iteration 3 -- 9.5.5 Addressing the Research Questions -- 9.5.6 Assessment of Suitability -- 9.5.7 Future Improvements -- 9.6 Conclusion -- References -- Chapter 10 A Review on Applications of the Standard Series IEC 61850 in Smart Grid Applications -- 10.1 Introduction -- 10.2 Overview of IEC 61850 Standards -- 10.3 IEC 61850 Protocols and Substandards -- 10.3.1 IEC 61850 Standards and Classifications -- 10.3.2 Basics of IEC 61850 Architecture Model -- 10.3.3 IEC 61850 Class Model -- 10.3.4 IEC 61850 Logical Interfaces (Functional Hierarchy of IEC 61850) -- 10.4 IEC 61850 Features -- 10.4.1 MMS -- 10.4.2 GOOSE -- 10.4.3 Sampled Measured Value (SMV) or SV -- 10.4.4 R‐GOOSE and R‐SV -- 10.4.4.1 Application in Transmission Systems -- 10.4.4.2 Application in Distribution Systems -- 10.4.5 Web Services -- 10.5 Relevant Application -- 10.5.1 Substation Automation System (SAS) -- 10.5.2 Energy Management System (EMS) -- 10.5.3 Distribution Management System (DMS) -- 10.5.3.1 Feeder Balancing and Loss Minimization Distribution -- 10.5.3.2 Voltage/VAR Optimization (VVO) and Conservation Voltage Reduction -- 10.5.3.3 Fault Location, Isolation, and Service Restoration -- 10.5.4 Distribution Automation (DA) -- 10.5.4.1 Voltage/VAR Control -- 10.5.4.2 Fault Detection and Isolation -- 10.5.4.3 Service Restoration Use Case -- 10.5.5 Distributed Generation and Demand Response Management (Distributed Energy Resource [DER]) -- 10.5.5.1 Storage -- 10.5.5.2 Solar Panels -- 10.5.5.3 Wind Farm -- 10.5.5.4 Virtual Power Plant (VPP) -- 10.5.6 Advanced Metering Infrastructure (AMI) -- 10.5.7 Electric Vehicle (EV)…”

Tabla de Contenidos: “…-- How Is Market Risk Measured by a Bank? -- The Greeks -- VaR…”

Tabla de Contenidos: “…Practice Questions -- Further Questions -- Chapter 18: Binomial Trees in Practice -- 18.1 The Binomial Model for a Non-Dividend-Paying Stock -- 18.2 Using the Binomial Tree for Options on Indices, Currencies, and Futures Contracts -- 18.3 The Binomial Model for a Dividend-Paying Stock -- 18.4 Extensions of the Basic Tree Approach -- 18.5 Alternative Procedure for Constructing Trees -- 18.6 Monte Carlo Simulation -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 19: Volatility Smiles -- 19.1 Foreign Currency Options -- 19.2 Equity Options -- 19.3 The Volatility Term Structure and Volatility Surfaces -- 19.4 When a Single Large Jump Is Anticipated -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Appendix: Why the Put Volatility Smile Is the Same As the Call Volatility Smile -- Chapter 20: Value at Risk and Expected Shortfall -- 20.1 The VaR and ES Measures -- 20.2 Historical Simulation -- 20.3 Model-Building Approach -- 20.4 Generalization of Linear Model -- 20.5 Quadratic Model -- 20.6 Estimating Volatilities and Correlations -- 20.7 Comparison of Approaches -- 20.8 Back Testing -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 21: Interest Rate Options -- 21.1 Exchange-Traded Interest Rate Options -- 21.2 Embedded Bond Options -- 21.3 Black's Model -- 21.4 European Bond Options -- 21.5 Interest Rate Caps -- 21.6 European Swap Options -- 21.7 Term Structure Models -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 22: Exotic Options and Other Nonstandard Products -- 22.1 Exotic Options -- 22.2 Agency Mortgage-Backed Securities -- 22.3 Nonstandard Swaps -- Summary -- Further Reading -- Quiz -- Practice Questions -- Further Questions -- Chapter 23: Credit Derivatives -- 23.1 Credit Default Swaps…”

Tabla de Contenidos: “…Scope and Closures -- Conceptual Overview of JavaScript Scope -- JavaScript Does Not Have Block Scope -- Use var Inside Functions to Declare Variables and Avoid Scope Gotchas -- The Scope Chain (Lexical Scoping) -- The Scope Chain Lookup Returns the First Found Value -- Scope Is Determined During Function Definition, not Invocation -- Closures Are Caused by the Scope Chain -- Chapter 8. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- List of Symbols -- Preface -- About the Companion Website -- Chapter 1 Introduction -- 1.1 Samples Versus Populations -- 1.2 Comments on Software -- 1.3 R Basics -- 1.3.1 Entering Data -- 1.3.2 Arithmetic Operations -- 1.3.3 Storage Types and Modes -- 1.3.4 Identifying and Analyzing Special Cases -- 1.4 R Packages -- 1.5 Access to Data Used in this Book -- 1.6 Accessing More Detailed Answers to the Exercises -- 1.7 Exercises -- Chapter 2 Numerical Summaries of Data -- 2.1 Summation Notation -- 2.2 Measures of Location -- 2.2.1 The Sample Mean -- 2.2.2 The Median -- 2.2.3 Sample Mean versus Sample Median -- 2.2.4 Trimmed Mean -- 2.2.5 R function mean, tmean, and median -- 2.3 Quartiles -- 2.3.1 R function idealf and summary -- 2.4 Measures of Variation -- 2.4.1 The Range -- 2.4.2 R function Range -- 2.4.3 Deviation Scores, Variance, and Standard Deviation -- 2.4.4 R Functions var and sd -- 2.4.5 The Interquartile Range -- 2.4.6 MAD and the Winsorized Variance -- 2.4.7 R Functions winvar, winsd, idealfIQR, and mad -- 2.5 Detecting Outliers -- 2.5.1 A Classic Outlier Detection Method -- 2.5.2 The Boxplot Rule -- 2.5.3 The MAD-Median Rule -- 2.5.4 R Functions outms, outbox, and out -- 2.6 Skipped Measures of Location -- 2.6.1 R Function MOM -- 2.7 Summary -- 2.8 Exercises -- Chapter 3 Plots Plus More Basics on Summarizing Data -- 3.1 Plotting Relative Frequencies -- 3.1.1 R Functions table, plot, splot, barplot, and cumsum -- 3.1.2 Computing the Mean and Variance Based on the Relative Frequencies -- 3.1.3 Some Features of the Mean and Variance -- 3.2 Histograms and Kernel Density Estimators -- 3.2.1 R Function hist -- 3.2.2 What Do Histograms Tell Us? …”