Tabla de Contenidos: “…-- Dependencies' Management Can Be Simpler -- Cross-Project Changes Are Easier -- How to Move Forward with Only One Project? …”

Tabla de Contenidos: “…-- Listening Skills -- Seize the Opportunity -- The Power of Words -- Break Down the Challenge -- Know the "No" -- Maybe "Yes" -- "No" Leads -- Crossing the Chasm -- False Starts -- Trust Building -- Ingrained -- Self-Limiting Beliefs -- Overcoming "No" -- Chapter 9 The Trifecta: Mentor/Coach/Mastermind -- The Mentor -- The Coach -- Mastermind -- Finding the Right Mentor, Coach, or Mastermind -- Family Ties -- The Value of a Third Party -- Gratitude -- Chapter 10 Celebrate the Wins -- Power of Hope -- Brain Recall -- The Right Way -- Listen to the "Singing" -- Celebrating Leadership -- Key People Indicators and Return on Wins -- The Right Way to Celebrate -- Good Reads -- Acknowledgments -- About the Author -- Index -- EULA…”

Tabla de Contenidos: “…Mancusi  39 -Design of an experimental method for measurement of isotopic fragmentation cross-section energy dependence of nucleus-nucleus collisions by T. …”

Tabla de Contenidos: “…Energy efficiency finance 86 -Summary 86 -Introduction 86 -Public finance 88 --Public finance institution initiatives: Financing domestic investments 89 --Development finance: Cross-border investment financings 92 --International climate finance 96 --Carbon finance 97 -Private finance 99 --Commercial banks 99 --Institutional investors 101 --Rio+20: Private sector Voluntary Commitments on energy efficiency 101 -Selected financing structures, techniques and intermediaries 102 --EPC and ESCOs 102 --Bonds: Green and other 104 --On-bill financing: PACE and other programmes 107 -Conclusions and prospects 108 -References 109  PART 2. …”

Tabla de Contenidos: “…Cover; Title Page; Copyright; Contents; Preface; Part I Linear Models: Regression and ANOVA; Chapter 1 The Linear Model; 1.1 Regression, Correlation, and Causality; 1.2 Ordinary and Generalized Least Squares; 1.2.1 Ordinary Least Squares Estimation; 1.2.2 Further Aspects of Regression and OLS; 1.2.3 Generalized Least Squares; 1.3 The Geometric Approach to Least Squares; 1.3.1 Projection; 1.3.2 Implementation; 1.4 Linear Parameter Restrictions; 1.4.1 Formulation and Estimation; 1.4.2 Estimability and Identifiability; 1.4.3 Moments and the Restricted GLS Estimator; 1.4.4 Testing With h=0 1.4.5 Testing With Nonzero h1.4.6 Examples; 1.4.7 Confidence Intervals; 1.5 Alternative Residual Calculation; 1.6 Further Topics; 1.7 Problems; 1.A Appendix: Derivation of the BLUS Residual Vector; 1.B Appendix: The Recursive Residuals; 1.C Appendix: Solutions; Chapter 2 Fixed Effects ANOVA Models; 2.1 Introduction: Fixed, Random, and Mixed Effects Models; 2.2 Two Sample t-Tests for Differences in Means; 2.3 The Two Sample t-Test with Ignored Block Effects; 2.4 One-Way ANOVA with Fixed Effects; 2.4.1 The Model; 2.4.2 Estimation and Testing; 2.4.3 Determination of Sample Size 2.4.4 The ANOVA Table2.4.5 Computing Confidence Intervals; 2.4.6 A Word on Model Assumptions; 2.5 Two-Way Balanced Fixed Effects ANOVA; 2.5.1 The Model and Use of the Interaction Terms; 2.5.2 Sums of Squares Decomposition Without Interaction; 2.5.3 Sums of Squares Decomposition With Interaction; 2.5.4 Example and Codes; Chapter 3 Introduction to Random and Mixed Effects Models; 3.1 One-Factor Balanced Random Effects Model; 3.1.1 Model and Maximum Likelihood Estimation; 3.1.2 Distribution Theory and ANOVA Table; 3.1.3 Point Estimation, Interval Estimation, and Significance Testing 3.1.4 Satterthwaite's Method3.1.5 Use of SAS; 3.1.6 Approximate Inference in the Unbalanced Case; 3.1.6.1 Point Estimation in the Unbalanced Case; 3.1.6.2 Interval Estimation in the Unbalanced Case; 3.2 Crossed Random Effects Models; 3.2.1 Two Factors; 3.3 Nested Random Effects Models; 3.3.1 Two Factors; 3.3.1.3 Mixed Model Case; 3.3.2 Three Factors; 3.3.2.1 All Effects Random; 3.3.2.2 Mixed: Classes Fixed; 3.3.2.3 Mixed: Classes and Subclasses Fixed; 3.4 Problems; 3.A Appendix: Solutions; Part II Time Series Analysis: ARMAX Processes; Chapter 4 The AR(1) Model; 4.1 Moments and Stationarity 4.2 Order of Integration and Long-Run Variance4.3 Least Squares and ML Estimation; 4.3.1 OLS Estimator of a; 4.3.2 Likelihood Derivation I; 4.3.3 Likelihood Derivation II; 4.3.4 Likelihood Derivation III; 4.3.5 Asymptotic Distribution; 4.4 Forecasting; 4.5 Small Sample Distribution of the OLS and ML Point Estimators; 4.6 Alternative Point Estimators of a; 4.6.1 Use of the Jackknife for Bias Reduction; 4.6.2 Use of the Bootstrap for Bias Reduction; 4.6.3 Median-Unbiased Estimator; 4.6.4 Mean-Bias Adjusted Estimator; 4.6.5 Mode-Adjusted Estimator; 4.6.6 Comparison --…”

Tabla de Contenidos: “…Intro -- Introduction -- Acknowledgments -- 1 Stationary Processes and Time Series -- 1.1 Introduction -- 1.2 The Prediction Problem -- 1.3 Random Variable -- 1.4 Random Vector -- 1.5 Stationary Process -- 1.6 White Process -- 1.7 MA Process -- 1.8 AR Process -- 1.9 Yule-Walker Equations -- 1.10 ARMA Process -- 1.11 Spectrum of a Stationary Process -- 1.12 ARMA Model: Stability Test and Variance Computation -- 1.13 Fundamental Theorem of Spectral Analysis -- 1.14 Spectrum Drawing -- 1.15 Proof of the Fundamental Theorem of Spectral Analysis -- 1.16 Representations of a Stationary Process -- 2 Estimation of Process Characteristics -- 2.1 Introduction -- 2.2 General Properties of the Covariance Function -- 2.3 Covariance Function of ARMA Processes -- 2.4 Estimation of the Mean -- 2.5 Estimation of the Covariance Function -- 2.6 Estimation of the Spectrum -- 2.7 Whiteness Test -- 3 Prediction -- 3.1 Introduction -- 3.2 Fake Predictor -- 3.3 Spectral Factorization -- 3.4 Whitening Filter -- 3.5 Optimal Predictor from Data -- 3.6 Prediction of an ARMA Process -- 3.7 ARMAX Process -- 3.8 Prediction of an ARMAX Process -- 4 Model Identification -- 4.1 Introduction -- 4.2 Setting the Identification Problem -- 4.3 Static Modeling -- 4.4 Dynamic Modeling -- 4.5 External Representation Models -- 4.6 Internal Representation Models -- 4.7 The Model Identification Process -- 4.8 The Predictive Approach -- 4.9 Models in Predictive Form -- 5 Identification of Input-Output Models -- 5.1 Introduction -- 5.2 Estimating AR and ARX Models: The Least Squares Method -- 5.3 Identifiability -- 5.4 Estimating ARMA and ARMAX Models -- 5.5 Asymptotic Analysis -- 5.6 Recursive Identification -- 5.7 Robustness of Identification Methods -- 5.8 Parameter Tracking -- 6 Model Complexity Selection -- 6.1 Introduction -- 6.2 Cross‐validation -- 6.3 FPE Criterion…”

Tabla de Contenidos: “…EL EJEMPLO DE LA PALMA (CANARIAS)(pp. 297-316) -- Ana Viña Brito -- EL ALCANCE DEL PODER REGIO EN CANARIAS Y AMÉRICA A TRAVÉS DE LOS CONTINOS REALES (1474-1520)(pp. 317-330) -- María Francisca García Alcázar -- NEW WORLD VILLAGES AND CITIES IN THE 16TH CENTURY: CROSS-CULTURAL INFLUENCES BETWEEN ITALY AND THE AMERICAS(pp. 331-348) -- Angela Orlandi -- CITIES AND REPRESENTATION IN NEW SPAIN: PETITIONS, JUNTAS, AND PROCURADORES(pp. 349-368) -- Sean T. …”

Tabla de Contenidos: “…-- Risk assessment -- Monitoring and surveillance -- Security controls -- Reporting and recommendation to management -- A blue team's composition -- Analysts -- Incident responder -- Threat hunter -- Security consultant -- Security administrator -- Identity and Access Management (IAM) administrator -- Compliance analyst -- Red team -- Purple team -- Cyber threat intelligence -- Skills required to be in a blue team -- Eager to learn and detail-oriented -- In-depth knowledge of networks and systems -- Outside-the-box and innovative thinking -- Ability to cross conventional barriers to perform tasks -- Academics, qualifications, and certifications -- Talent development and retention -- Cyber labs -- Capture-the-Flag and hackathons -- Research and development projects -- Community outreach -- Mentoring -- Continuous unhindered learning -- Summary -- Chapter 2: Managing a Defense Security Team -- Why must organizations consider metricizing cybersecurity? …”

Tabla de Contenidos: “…Inflating View hierarchies with AndroidViewBinding() -- Sharing data between Views and composable functions -- Revisiting ViewModels -- Combining View Binding and ViewModels -- Embedding composables in View hierarchies -- Summary -- Questions -- Chapter 10: Testing and Debugging Compose Apps -- Technical requirements -- Setting up and writing tests -- Implementing unit tests -- Testing composable functions -- Understanding semantics -- Working with semantics nodes -- Adding custom semantics properties -- Debugging Compose apps -- Using custom modifiers for logging and debugging -- Summary -- Further reading -- Questions -- Chapter 11: Developing for Different Form Factors -- Technical requirements -- Understanding different form factors -- Preparing for adaptive layouts -- Enhancing the UI -- Introducing Window Size Classes -- Using Jetpack WindowManager -- Reading hinge and fold features -- Organizing the screen content -- Summary -- Exercise -- Chapter 12: Bringing Your Compose UI to Different Platforms -- Technical requirements -- Introducing Compose Multiplatform -- Setting up a Compose Multiplatform project -- Running the sample app -- Building a cross-platform app -- Accessing composables from platform-specific code -- Developing across platforms -- Using Mobile Kotlin resources -- Summary -- Exercise -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…-- Aligning purpose and profit -- The relationship between profit and pricing -- Corporate purpose -- The relationship between profit and purpose -- The triple bottom line -- The financial case for purpose -- Aligning price, profit, and purpose -- Pricing for demand management -- Pricing for a sustainable environment -- Pricing for poverty alleviation -- Pricing for healthy living -- Pricing for governmental policy -- Pricing for improving quality of life -- The seven-step plan -- Key takeaways -- Notes -- Chapter 2: Seeking internal alignment and true costs -- Internal misalignment issues -- The importance of including societal impact within the business case -- Impact-weighted accounting: the promise -- A framework for quantifying societal impact -- Understand the value being created - for customers and society -- Measurement challenges -- Measuring carbon emissions -- Measuring a life saved -- Measuring jobs created or lost -- The social cost of food -- Other measurements -- True costs and responsible business: getting there -- Key takeaways -- Notes -- Chapter 3: Innovation diffusion: Pricing for growth -- The "diffusion of innovation" stages and the role of pricing -- Pricing of innovations and its influence on societal welfare -- Stage 1: Innovators (2.5% market share) -- Stage 2: Early adopters (13.5% market share) -- The "green premium" -- Stage 3: Early majority (34% market share) -- Case of Tesla -- Stage 4: Late majority (34% market share) -- Crossing the chasm: Driving adoption and market share (34%) -- Georgia-Pacific Case Study…”

Tabla de Contenidos: “…-- Different machine learning approaches -- Supervised learning -- Unsupervised learning -- Reinforcement learning -- Steps Involved in machine learning systems -- Brief description of popular techniques/algorithms -- Linear regression -- Decision trees -- K-means -- Naïve Bayes -- Support vector machines -- The cross-entropy method -- Neural networks -- Deep learning -- Applications in real life -- A popular open source package -- Summary -- Chapter 2: Neural Networks -- Why neural networks? …”

Tabla de Contenidos: “…10.2 Using Object Detection for Good -- 10.3 Feature Testing DOM Events -- 10.4 Feature Testing CSS Properties -- 10.5 Cross-Browser Event Handlers -- 10.6 Using Feature Detection -- 10.7 Summary -- Part III: Real-World Test-Driven Development in JavaScript -- 11. …”

Tabla de Contenidos: “…Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Installing MariaDB -- Choosing a MariaDB version -- Installing MariaDB -- Installing on Windows -- The noinstall package -- The package for Microsoft Installer -- Installing on Linux -- Using official repositories -- The .deb packages -- The .rpm packages -- Installing MariaDB on Gentoo -- Generic Linux binaries -- Installing on MacOS -- Starting and stopping MariaDB -- Getting started with the mysql client -- Starting and quitting the client -- Running queries -- Client commands -- Configuring MariaDB -- Configuration files -- Passing options to mysqld -- Setting server variables at runtime -- Upgrading MariaDB -- Managing plugins -- Summary -- Chapter 2: Databases and Tables -- Working with databases -- Working with tables -- Working with columns -- Data types -- String types -- Numeric types -- Temporal types -- ENUM and SET types -- NULL values -- Default values -- Character sets and collations -- Storage engines -- Indexing -- Using comments -- Working with metadata -- Creating an installation script -- Summary -- Chapter 3: Getting Started with SQL -- Working with rows -- Inserting rows -- Modifying rows -- Deleting rows -- Understanding transactions -- The autocommit mode -- The limitations of a transaction in MariaDB -- Foreign keys -- Creating relationships between tables -- Foreign keys explained -- Self-referencing tables -- Many-to-many relationships -- Dealing with duplicates and consistency errors -- Reading rows -- Specifying the table and column names -- Aggregate functions -- Filtering rows -- Sorting rows -- Limiting the number of rows -- Grouping results -- Joining tables -- The cross join operation -- The inner join operation -- The left join and right join operations -- Unions…”

Tabla de Contenidos: “…Key Initiatives in Practice -- Chapter 8 Aligning and Cascading Your OKRs -- The Right Number of Levels -- Choosing Your Cascading Method -- Aligning Across Departments and Teams -- Team Alignment -- Cross-Functional Alignment -- Chapter 9 Writing OKRs: An Interactive Team Workshop -- Pre-Workshop Checklist -- Workshop Timeline -- Chapter 10 The Most Common Questions About OKRs (and Their Answers) -- What If We Don't Reach 100% of Our Goals? …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Acknowledgments -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introducing Machine Learning for Text -- The language phenomenon -- The data explosion -- The era of AI -- Relevant research fields -- The machine learning paradigm -- Taxonomy of machine learning techniques -- Supervised learning -- Unsupervised learning -- Semi-supervised learning -- Reinforcement learning -- Visualization of the data -- Evaluation of the results -- Summary -- Chapter 2: Detecting Spam Emails -- Technical requirements -- Understanding spam detection -- Explaining feature engineering -- Extracting word representations -- Using label encoding -- Using one-hot encoding -- Using token count encoding -- Using tf-idf encoding -- Executing data preprocessing -- Tokenizing the input -- Removing stop words -- Stemming the words -- Lemmatizing the words -- Performing classification -- Getting the data -- Creating the train and test sets -- Preprocessing the data -- Extracting the features -- Introducing the Support Vector Machines algorithm -- Understanding Bayes' theorem -- Measuring classification performance -- Calculating accuracy -- Calculating precision and recall -- Calculating the F-score -- Creating ROC and AUC -- Creating precision-recall curves -- Summary -- Chapter 3: Classifying Topics of Newsgroup Posts -- Technical requirements -- Understanding topic classification -- Performing exploratory data analysis -- Executing dimensionality reduction -- Understanding principal component analysis -- Understanding linear discriminant analysis -- Putting PCA and LDA into action -- Introducing the k-nearest neighbors algorithm -- Performing feature extraction -- Performing cross-validation -- Performing classification -- Comparison to the baseline model -- Introducing the random forest algorithm…”

Tabla de Contenidos: “…Audio and DOM Processing -- Starting Off -- Building the Application and Making It Your Own -- Testing and Uploading the Application -- Summary -- Chapter 9: Guess a Word -- Introduction -- Critical Requirements -- HTML5, CSS, and JavaScript Features -- Storing a Word List as an Array Defined in an External Script File -- Generating and Positioning HTML Markup, Then Changing the Markup to Buttons, and Then Disabling the Buttons -- Creating the Feedback About Remaining Wrong Letters -- Maintaining the Game State and Determining a Win or Loss -- Checking a Guess and Revealing Letters in the Secret Word by Setting textContent -- Building the Application and Making It Your Own -- Testing and Uploading the Application -- Summary -- Chapter 10: Blackjack -- Introduction -- Critical Requirements -- HTML5, CSS, and JavaScript Features -- Source for Images for Card Faces and Setting Up the Image Objects -- Creating the Programmer-Defined Object for the Cards -- Starting a Game -- Dealing the Cards -- Shuffling the Deck -- Capturing Key Presses -- Using Header and Footer Element Types -- Building the Application and Making It Your Own -- Testing and Uploading the Application -- Summary -- Appendix: More Techniques for Drawing -- Circles and Arrows -- Overview -- Details of Implementation -- What You Learned -- Crossing a Line (Jumping a Fence) -- Overview -- Mathematics Refresher -- Preparing Data -- Feedback to User/Player -- Details of Implementation -- What You Learned -- Using Scalar Vector Graphics -- Using SVG to Draw the HTML5 Logo -- Overview -- Details of Implementation -- Using SVG to Draw and Modify a Cartoon -- Overview -- Details of Implementation -- What You Learned -- Index…”

Tabla de Contenidos: “…Securing the Copernican Hypothesis -- 12. Crossing of Relations of Support -- 13. Conclusion -- 13 | Dowsing: The Instabilities of EvidentialCompetition -- 1. …”

Tabla de Contenidos: “…Analytics -- Identity in the blockchain -- Introduction to the business landscape -- Analytics -- Redefining the art business with blockchain -- Introduction to the business landscape -- Data extraction -- Floor price and wash trading -- A word on anti-money laundering (AML) practices -- Summary -- Further reading -- Chapter 5: Exploring Analytics on DeFi -- Technical requirements -- Stablecoins and other tokens -- Understanding tokens, native assets, and the ERC-20 data structure -- Hands-on example -- Understanding DEX -- Hands-on example - pools and AMM -- DEX aggregators -- Lending and borrowing services on Web3 -- Flash loans -- A note on protocol bad debt -- Multichain protocols and cross-chain bridges -- Hands-on example - Hop bridge -- Summary -- Further reading -- Part 2 Web3 Machine Learning Cases -- Chapter 6: Preparing and Exploring Our Data -- Technical requirements -- Data preparation -- Hex values -- Checksum -- Decimal treatment -- From Unix timestamps to datetime formats -- Evolution of smart contracts -- Exploratory Data Analysis -- Summarizing data -- Outlier detection -- Summary -- Further reading -- Chapter 7: A Primer on Machine Learning and Deep Learning -- Technical requirements -- Introducing machine learning -- Building a machine learning pipeline -- Model -- Training -- Underfitting and overfitting -- Prediction and evaluation -- Introducing deep learning -- Model preparation -- Model building -- Training and evaluating a model -- Summary -- Further reading -- Chapter 8: Sentiment Analysis - NLP and Crypto News -- Technical requirements -- Example datasets -- Building our pipeline -- Preparation -- Model building -- Training and evaluation -- ChatGPT integration -- Summary -- Further reading -- Chapter 9: Generative Art for NFTs -- Technical requirements -- Creating with colors - colorizing -- Hands-on Style2Paints…”

Tabla de Contenidos: “…Development Tools; 4.2. GNU Cross-Platform Development Toolchain; 4.2.1.2. Build requirements; 4.2.1.3. …”

Tabla de Contenidos: “…9 Swaps, Futures and Derivatives9.1 Swaps; 9.1.1 Interest Rate Swap; 9.1.2 Asset Swap; 9.1.3 Cross-Currency Swap; 9.1.4 Basis Swap; 9.1.5 Forward Rate Agreement; 9.2 Credit Risk in Swaps; 9.3 Swaptions; 9.4 Futures; 9.5 Credit Default Swaps; 10 Portfolio and Other Considerations; 10.1 Holding Period Returns; 10.2 Immunization; 10.3 Portfolio Measures; 10.4 Allowing for Tax; 11 Indices; 11.1 Bond Index Classifications; 11.2 Choosing Indices; 11.3 Index Data Calculations; 11.4 Index Continuity; 11.4.1 Large Changes in the Constituents of the Index; 11.4.2 Gaps in Subindex Calculations…”