Tabla de Contenidos: “…. -- How it works... -- Using PageRank to determine airport ranking -- Getting ready -- How to do it... -- How it works... -- Finding the fewest number of connections -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Visualizing the graph -- Getting ready -- How to do it... -- How it works... -- Index…”

Tabla de Contenidos: “…-- Validation and Verification -- Techniques for Requirements V&amp -- V -- Walkthroughs -- Inspections -- Goal-Based Requirements Analysis -- Requirements Understanding -- Validating Requirements Use Cases -- Prototyping -- Tools for V&amp -- V -- Requirements V&amp -- V Matrices -- Standards for V&amp -- V -- ISO/IECIEEE Standard 29148 -- Singularity -- Feasibility -- Ambiguity -- Completeness -- Consistency -- Verifiability -- Traceability -- Ranking -- Example Validation of Requirements -- Singular -- Feasible -- Unambiguous -- Complete -- Consistent -- Verifiable -- Traceable -- Ranked -- The Importance of Measurement in Requirements V&amp -- V -- Goal/Question/Metric Analysis -- NASA Requirements Testing -- NASA ARM Tool -- Imperatives -- Continuances -- Directives -- Options -- Weak Phrases -- Incomplete -- Subjects -- Specification Depth -- Readability Statistics -- Summary of NASA Metrics -- Exercises -- Note -- References -- 7 Formal Methods -- Motivation -- What Are Formal Methods? …”

Tabla de Contenidos: “…Using user-defined functions -- Breaking down the user-defined function syntax -- Doing "stuff" with user-defined functions -- Getting familiar with lambda functions -- Creating good functions -- Handling files in Python -- Opening files with pandas -- Wrangling data with pandas -- Handling missing data -- Selecting data -- Sorting data -- Merging data -- Aggregation with groupby() -- Summary -- References -- Chapter 4: Visualizing Data and Data Storytelling -- Understanding data visualization -- Bar charts -- Line charts -- Scatter plots -- Histograms -- Density plots -- Quantile-quantile plots (Q-Q plots) -- Box plots -- Pie charts -- Surveying tools of the trade -- Power BI -- Tableau -- Shiny -- ggplot2 (R) -- Matplotlib (Python) -- Seaborn (Python) -- Developing dashboards, reports, and KPIs -- Developing charts and graphs -- Bar chart - Matplotlib -- Bar chart - Seaborn -- Scatter plot - Matplotlib -- Scatter plot - Seaborn -- Histogram plot - Matplotlib -- Histogram plot - Seaborn -- Applying scenario-based storytelling -- Summary -- Chapter 5: Querying Databases with SQL -- Introducing relational databases -- Mastering SQL basics -- The SELECT statement -- The WHERE clause -- The ORDER BY clause -- Aggregating data with GROUP BY and HAVING -- The GROUP BY statement -- The HAVING clause -- Creating fields with CASE WHEN -- Analyzing subqueries and CTEs -- Subqueries in the SELECT clause -- Subqueries in the FROM clause -- Subqueries in the WHERE clause -- Subqueries in the HAVING clause -- Distinguishing common table expressions (CTEs) from subqueries -- Merging tables with joins -- Inner joins -- Left and right join -- Full outer join -- Multi-table joins -- Calculating window functions -- OVER, ORDER BY, PARTITION, and SET -- LAG and LEAD -- ROW_NUMBER -- RANK and DENSE_RANK -- Using date functions -- Approaching complex queries -- Summary…”

Tabla de Contenidos: “…Oosthuizen & Andre van der Bijl 169 -- Abstract 170 -- Introduction 171 -- Problem statement 173 -- Conceptual and theoretical considerations 173 -- Learning and behaviour modification within the context of vocational education 175 -- Acceptance of positive discipline 178Methods of applying positive discipline 179 -- Research design and methodology 182 Population, sampling and participant selection 183 Data analysis 184 Validity, reliability and trustworthiness 184 -- Ethical considerations 185 -- The occurrence of the application of positive discipline at a Technical and Vocational Education and Training college in the Western Cape 185 -- Biographical detail 186 -- Attributes of Technical and Vocational Education and Training lecturers that contribute to a positive, disciplined teaching and learning environment ranked 186 -- Measures that contribute towards a positive, disciplined teaching and learning environment ranked 189 -- The views and experiences of lecturers on positive student disciplinary measures 193 -- Conclusion and recommendations 194 -- Appendix A 197 -- Questionnaire 197 -- Section A: Biographical 197 -- Section B: Lecturer attributes 197 -- Section C: Application of disciplinary measures 198 -- Chapter 9: The congeniality to sound learner discipline of the Finnish education system: Relevance for approaching learner discipline in South African schools Charl C. …”

Tabla de Contenidos: “…4.26.7 Variance of Normal Distribution -- 4.26.8 Mode of Normal Distribution -- 4.26.9 Median of the Normal Distribution -- 4.26.10 Moment Generating Function of Normal Distribution With Respect to Origin -- 4.26.11 Mean Deviation of Normal Distribution -- 4.26.11.1 Solved Examples -- 4.26.12 Fitting a Normal Distribution -- 4.26.13 Linear Combination of Independent Normal Variables -- 4.26.14 Fitting a Normal Distribution -- 4.26.15 Normal Approximation to Binomial Distribution -- 4.27 Characteristic Function -- 4.28 Gamma Distribution -- 4.28.1 Mean and Variance of Gamma Distribution -- 4.28.2 Gamma Distribution of Second Kind -- 4.29 Beta Distribution of First Kind -- 4.29.1 Beta Distribution of Second Kind -- 4.30 Weibull Distribution -- 5 Curve Fitting -- 5.1 Introduction -- 5.2 The Method of Least Squares -- 5.3 The Least-Squares Line -- 5.4 Fitting a Parabola by the Method of Least Squares -- 5.5 Fitting the exponential curve of the form y=a ebx -- 6 Correlation and Regression -- 6.1 Introduction -- 6.2 Correlation -- 6.2.1 Types of Correlation -- 6.3 Coefficient of Correlation -- 6.3.1 Properties of Coefficient of Correlation -- 6.4 Methods of Finding Coefficient of Correlation -- 6.5 Scatter Diagram -- 6.6 Direct Method -- 6.7 Spearman's Rank Correlation Coefficient -- 6.7.1 Rank Correlation Coefficient When the Ranks Are Tied -- 6.8 Calculation of r (Correlation Coefficient) (Karl Pearson's Formula) -- 6.9 Regression -- 6.10 Regression Equation -- 6.11 Curve of Regression -- 6.12 Types of Regression -- 6.13 Regression Equations (Linear Fit) -- 6.13.1 Linear Regression Equation of y on x -- 6.13.2 Regression Equation of x and y -- 6.14 Angle between Two Lines of Regression -- 6.15 Coefficient of Determination -- 6.16 Coefficient Nondetermination -- 6.17 Coefficient of Alienation -- 6.17.1 Solved Examples -- 6.18 Multilinear Regression…”

Tabla de Contenidos: “…How to measure your Go AI's strength -- 2.6.1. Traditional Go ranks -- 2.6.2. Benchmarking your Go AI -- 2.7. Summary -- 3 Implementing your first Go bot -- 3.1. …”

Tabla de Contenidos: “…7.4 Quantum logic with quantum variables -- 7.4.1 Syntax -- 7.4.2 Semantics -- 7.4.3 Proof system -- 7.5 Quantum logic as an assertion logic -- 7.5.1 Reformulating syntax and semantics of quantum programs -- 7.5.2 Quantum Hoare logic combined with quantum logic -- 7.5.3 Adaptation rules for quantum programs -- 7.6 An effect calculus as assertion logic -- 7.6.1 A calculus of quantum effects -- 7.6.2 Quantum Hoare logic combined with effect calculus -- 7.7 Discussion -- 7.8 Bibliographic remarks and further readings -- 8 Analysis of quantum programs -- 8.1 Control flows of quantum programs -- 8.1.1 Superoperator-valued transition systems -- 8.1.2 Quantum programs as transition systems -- 8.2 Invariants and their generation -- 8.2.1 Basic definitions -- 8.2.2 Partial correctness -- 8.2.3 Inductive assertion maps -- 8.2.4 Generation of inductive invariants -- 8.2.5 An illustrative example -- 8.3 Termination analysis - ranking functions -- 8.3.1 Termination problems -- 8.3.2 Ranking functions and termination theorems -- 8.3.3 Realisability and synthesis of ranking functions -- 8.4 Termination analysis - reachability -- 8.4.1 Termination of quantum while-loops -- 8.4.2 Quantum graph theory -- 8.4.3 Decomposition of the state Hilbert space -- 8.4.4 Reachability analysis of quantum Markov chains -- 8.5 Quantum abstract interpretation -- 8.5.1 Basics of abstract interpretation -- 8.5.2 Restriction and extension of projections -- 8.5.3 Abstraction of quantum states -- 8.5.4 Abstraction of quantum operations -- 8.6 Bibliographic remarks and further readings -- IV Parallel and distributed quantum programs -- 9 Parallel quantum programs -- 9.1 Syntax of disjoint parallel quantum programs -- 9.2 Semantics of disjoint parallel quantum programs -- 9.2.1 Operational semantics -- 9.2.2 Denotational semantics -- 9.3 Proof system for disjoint parallel quantum programs…”

Tabla de Contenidos: “…Ubicación de Chile en Rankings AlternativosMercados Cautivos para el cobre de Chile y otros productores; Integración Vertical; 5. …”

Tabla de Contenidos: “…J. Ager, M. Barbadillo-Rank, J. Garcia-Lopez, F. J. Madrigal, and M. D. …”

Tabla de Contenidos: “…-- Searching -- Polarity scores -- Jaccard's distance -- Jaccards distance/index -- Ranking search results -- Fuzzy logic -- Fuzzification -- Defining the rules -- Evaluating the rules -- Defuzzification -- Complete R Code -- Summary -- Chapter 3: Collaborative Filtering -- Collaborative filtering -- Memory-based approach -- Model-based approach -- Latent factor approach -- Recommenderlab package -- Popular approach -- Use case and data -- Designing and implementing collaborative filtering -- Ratings matrix -- Normalization -- Train test split -- Train model -- User-based models -- Item-based models -- Factor-based models -- Complete R Code -- Summary -- Chapter 4: Taming Time Series Data Using Deep Neural Networks -- Time series data -- Non-seasonal time series -- Seasonal time series -- Time series as a regression problem -- Deep neural networks -- Forward cycle -- Backward cycle…”

Tabla de Contenidos:

Tabla de Contenidos: “…Auctions with Interdependent Values; 6.1 The Symmetric Model; 6.2 Second-Price Auctions; 6.3 English Auctions; 6.4 First-Price Auctions; 6.5 Revenue Comparisons; 6.5.1 English versus Second-Price Auctions; 6.5.2 Second-Price versus First-Price Auctions; 6.6 Efficiency; Chapter 7. The Revenue Ranking ("Linkage") Principle; 7.1 The Main Result; 7.2 Public Information; 7.3 An Alternative Linkage Principle…”

Tabla de Contenidos: “…2.2 Display and summary of univariate data2.2.1 Histogram and distribution; 2.2.2 Shape of a distribution; 2.2.3 Location; 2.2.4 Variability; 2.3 Data input, output, manipulation and management; 2.3.1 Data input and output; 2.3.2 Stacking and unstacking of data; changing data type and coding; 2.3.3 Case study demonstrating ranking, sorting and extraction of information from date/time data; 2.4 Exercises and follow-up activities; 3 Exploratory data analysis, display and summary of multivariate data; 3.1 Exploratory data analysis; 3.1.1 Stem-and-Leaf displays…”

Tabla de Contenidos: “…2 The Digitization of Word-of-MouthAbstract; 2.1 The Concept of Word-of-Mouth; 2.2 Word-of-Mouth and Electronic Word-of-Mouth; 2.3 Electronic Word-of-Mouth Outcomes; 2.4 eWOM Biased Information; 2.5 Dimensions for An Analysis of eWOM; 2.5.1 The Message; 2.5.2 The Communicator; 2.5.3 The Receiver; 2.6 Recommendation Framing; 2.7 Credibility of User-Generated Content; 2.7.1 Reviews, Rankings, and Ratings in the Tourism Sector: The TripAdvisor Experience; References; 3 Social Media Impacts on Travelers; Abstract; 3.1 Consumer Behavior in Tourism; 3.2 The Travel Experience…”

Tabla de Contenidos: “…Using enumerate() to include a sequence number -- Summary -- Chapter 5: Higher-Order Functions -- Using max() and min() to find extrema -- Using Python lambda forms -- Lambdas and the lambda calculus -- Using the map() function to apply a function to a collection -- Working with lambda forms and map() -- Using map() with multiple sequences -- Using the filter() function to pass or reject data -- Using filter() to identify outliers -- The iter() function with a sentinel value -- Using sorted() to put data in order -- Writing higher-order functions -- Writing higher-order mappings and filters -- Unwrapping data while mapping -- Wrapping additional data while mapping -- Flattening data while mapping -- Structuring data while filtering -- Writing generator functions -- Building higher-order functions with callables -- Assuring good functional design -- Review of some design patterns -- Summary -- Chapter 6: Recursions and Reductions -- Simple numerical recursions -- Implementing tail-call optimization -- Leaving recursion in place -- Handling difficult tail-call optimization -- Processing collections through recursion -- Tail-call optimization for collections -- Reductions and folding a collection from many items to one -- Group-by reduction from many items to fewer -- Building a mapping with Counter -- Building a mapping by sorting -- Grouping or partitioning data by key values -- Writing more general group-by reductions -- Writing higher-order reductions -- Writing file parsers -- Parsing CSV files -- Parsing plain text files with headers -- Summary -- Chapter 7: Additional Tuple Techniques -- Using tuples to collect data -- Using named tuples to collect data -- Building named tuples with functional constructors -- Avoiding stateful classes by using families of tuples -- Assigning statistical ranks -- Wrapping instead of state changing…”

Tabla de Contenidos: “…. -- See also -- Using database ranking -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Using BEx queries -- Getting ready -- How to do it... -- How it works... -- There's more... -- 3. …”

Tabla de Contenidos: “…-- Risk ranking -- Cyber-physical threat modeling -- How does one model a cyber-physical threat? …”

Tabla de Contenidos: “…9.7 Confidence Interval for Difference between Two Means (Unknown Variances) -- 9.8 Confidence Interval for Difference of Means (Unknown and Unequal Variances) -- 9.9 Confidence Interval for Difference between Means for Paired Observations -- 9.10 Confidence Interval for Estimating the Variance -- 9.11 Confidence Interval for Estimating the Ratio of Two Variances -- 9.12 Bayesian Estimation -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 10: Curve Fitting -- Introduction -- 10.1 The Method of Least Squares -- 10.2 Fitting of a Straight Line -- 10.3 Fitting of a Second Degree Parabola -- 10.4 Fitting of Exponential Curve and Power Curve -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 11: Correlation -- Introduction -- 11.1 Types of Correlation -- 11.2 Methods of Correlation -- 11.3 Properties of Correlation Coefficient -- 11.4 Coefficient of Correlation for Grouped Data -- 11.5 Rank Correlation -- 11.6 Limitations of Spearman's Correlation Coefficient Method -- 11.7 Tied Ranks -- 11.8 Concurrent Deviations Method -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 12: Regression -- 12.1 Regression -- 12.2 Lines of Regression -- 12.3 Regression Coefficients -- 12.4 Difference between Regression and Correlation Analysis -- 12.5 Angle between Two Lines of Regression -- 12.6 Standard Error of Estimate -- 12.7 Limitations of Regression Analysis -- 12.8 Regression Curves -- Definitions at a Glance -- Formulae at a Glance -- Objective Type Questions -- Chapter 13: Queuing Theory -- Introduction -- 13.1 Elements of a Queuing Model -- 13.2 Distribution of Inter-Arrival Time -- 13.3 Distribution of Service Time -- 13.4 Queuing Process -- 13.5 Transient State and Steady State -- 13.6 Some Notations…”

Tabla de Contenidos: “…Evaluation of Stopping Criteria for Ranks in Solving Linear Systems -- 10.1. Introduction -- 10.2. …”

Tabla de Contenidos: “…Tip #3 - Delineate objectives -- Tip #4 - Apply an agile methodology to your digital transformation -- Tip #5 - Encourage risk-taking -- Tip #6 - One-way door vs. two-way door decisions -- Tip #7 - Clear delineation of roles and responsibilities -- Digital transformation pitfalls -- Lack of commitment from the C-suite -- Not having the right team in place -- Internal resistance from the ranks -- Going too fast -- Going too slow -- Outdated rules and regulations -- The AWS Cloud Adoption Framework (AWS CAF) -- Architectures to provide high availability, reliability, and scalability -- Active architecture -- Active/passive architecture -- Active/active architecture -- Sharding architecture -- Chaos engineering -- Summary -- Chapter 4: Networking in AWS -- Learning about the AWS Global Infrastructure -- Regions, Availability Zones, and Local zones -- AWS Regions -- AWS AZs -- AWS LZs -- Benefits of the AWS Global Infrastructure -- AWS networking foundations -- Amazon Virtual Private Cloud (VPC) -- AWS TGW -- AWS PrivateLink -- Edge networking -- Route 53 -- Amazon CloudFront -- AWS Global Accelerator (AGA) -- AWS Wavelength -- Building hybrid cloud connectivity in AWS -- AWS Virtual Private Network (VPN) -- AWS Direct Connect -- AWS Cloud WAN -- AWS cloud network security -- AWS Network Firewall (ANFW) -- AWS network security patterns - best practices -- AWS network security anti-patterns -- AWS network security with third-party solutions -- Summary -- Chapter 5: Storage in AWS - Choosing the Right Tool for the Job -- Understanding Amazon Elastic Block Store -- General-purpose Solid-State Devices (SSDs) -- Provisioned IOPS SSD -- Throughput Optimized HDD -- Cold HDD -- Amazon EBS Snapshots -- Choosing the right EBS volume -- Investigating Amazon Elastic File System (EFS) -- Using Amazon FSx to manage file systems…”