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: “…Mathematical foundations -- Vectors, matrices, and beyond: a linear algebra primer -- Vectors: one-dimensional data -- Matrices: two-dimensional data -- Rank 3 tensors -- Rank 4 tensors -- Calculus in five minutes: derivatives and finding maxima -- Appendix B. …”

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: “…Calculating the degree of the vertex -- The in-degree -- The out-degree -- Calculating PageRank -- Loading and reloading data about users and followers -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…. -- 1.4 Linear Detectors. -- 1.5 Reduced-Rank Estimation. -- 1.6 Decision-Feedback Detection. -- 1.7 Interference Mitigation at the Transmitter. -- 1.8 Overview of Remaining Chapters. -- References. -- 2 Iterative Techniques (Alex Grant and Lars K. …”

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: “…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: “…Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Book 1 The Social Media Mix -- Chapter 1 Making the Business Case for Social Media -- Making Your Social Debut -- Defining Social Media Marketing -- Understanding the Benefits of Social Media -- Casting a wide net to catch your target market -- Branding -- Building relationships -- Improving business processes -- Improving search engine rankings -- Selling in the social media marketplace -- Finding alternative advertising opportunities -- Understanding the Cons of Social Media -- Integrating Social Media into Your Overall Marketing Effort -- Developing a Strategic Social Media Marketing Plan -- Establishing goals -- Setting quantifiable objectives -- Identifying your target markets -- Estimating costs -- Valuing social media ROI -- Chapter 2 Tallying the Bottom Line -- Preparing to Calculate Return on Investment -- Accounting for Customers Acquired Online -- Comparing the costs of customer acquisition -- One is silver and the other gold -- Establishing Key Performance Indicators for Sales -- Tracking Leads -- Understanding Other Common Business Metrics -- Break-even point -- Profit margin -- Revenue versus profit -- Determining Return on Investment -- Chapter 3 Plotting Your Social Media Marketing Strategy -- Locating Your Target Market Online -- Segmenting Your B2C Market -- Demographics -- Geographic location -- Purchasing behavior in different life stages -- Psychographics or lifestyle -- Affinity groups -- Researching B2B Markets -- Conducting Other Types of Market Research Online -- Identifying influencers -- Understanding why people use social media services -- Setting Up Your Social Media Marketing Plan -- Chapter 4 Managing Your Cybersocial Campaign…”

“…They can also be used for the selection and ranking of candidate chemicals during the development of new chemicals and products and in toxicology research. …”

Tabla de Contenidos: “…4.1 Necessity of Data Preparation4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables; 4.4 Missing Data and Imputation Strategies; 4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.6.1 Distributions; 4.6.2 Tests for Normality; 4.6.3 Data with Totally Different Scales; 4.7 Adjusting the Data Distributions; 4.7.1 Standardisation and Normalisation; 4.7.2 Ranking; 4.7.3 Box-Cox Transformation; 4.8 Binning; 4.8.1 Bucket Method; 4.8.2 Analytical Binning for Nominal Variables; 4.8.3 Quantiles; 4.8.4 Binning in Practice; 4.9 Timing Considerations; 4.10 Operational Issues…”

Tabla de Contenidos: “…6.2.2 WordPress SEO by Yoast6.2.3 wpSEO (für WordPress); 6.2.4 Caching-Tools und beschleunigter Seitenaufbau; 6.2.5 Optimierte Linkstrukturen; 6.2.6 Backlinks analysieren; 6.2.7 Sonstige Optimierungstipps; 6.3 Google-Ranking-Updates und ihre Auswirkungen auf die Blog-SEO; 6.4 Organischer Linkaufbau; 6.4.1 SEO und SEM auslagern; 6.5 SEO durch Social Signals; Kapitel 7: Blogleser zu Freunden machen; 7.1 Die Mitwirkung am Blog stärken; 7.1.1 Die Persönlichkeit eines Blogs oder Bloggers; 7.1.2 Interaktive Blogelemente; 7.1.3 Belohnung der (Stamm-)Leser; 7.1.4 Präsenz innerhalb der Blogosphäre…”

Tabla de Contenidos: “…4.6 Discussion -- 4.7 Conclusion -- References -- 5 A Method to Solve Trapezoidal Transshipment Problem under Uncertainty -- 5.1 Introduction -- 5.2 Preliminaries -- 5.3 Arithmetic Operations -- 5.4 Ranking Function -- 5.5 Mathematical Formulation of the Transshipment Problem under Uncertainty -- 5.6 Proposed Method -- 5.7 Numerical Example -- 5.8 Results and Discussion -- 5.9 Comparative Studies -- 5.10 Conclusion -- References -- 6 Enhancing the Security of Public key Cryptographic Model based on Integrated ElGamal-Elliptic Curve Diffe Hellman (EG-ECDH) Key Exchange Technique -- 6.1 Introduction -- 6.2 Generalized Fibonacci Matrix and its Inverse -- 6.3 Technique for key Generation, Encryption and Decryption -- 6.3.1 ElGamal Technique -- 6.3.2 ECDH Technique -- 6.3.3 Proposed Integrated ElGamal-ECDH Technique for key Generation -- 6.4 Technique for Encryption and Decryption -- 6.5 Algorithm for Proposed Model -- 6.6 Numerical Example -- 6.7 Complexity of this Model -- 6.8 Conclusion -- References -- 7 An Investigation of Fractional Ordered Biological Systems using a Robust Semi-Analytical Technique -- 7.1 Introduction -- 7.2 Generalized time Fractional order Biological Population Model -- 7.3 Preliminaries -- 7.3.1 Basic Concept of Fractional Calculus -- 7.3.2 Basic Definitions -- 7.4 Implementation of Fractional Modified Differential Transform Method -- 7.5 Conclusion -- References -- 8 Variable Selection in Multiple Nonparametric Regression Modelling -- 8.1 Introduction -- 8.2 Proposed Methodology and Statistical Properties -- 8.2.1 Description of the Method -- 8.2.2 Large Sample Statistical Property -- 8.3 Simulation Study -- 8.4 Real data Analysis -- 8.4.1 QSAR Fish Toxicity Data Set -- 8.4.2 Istanbul Stock Exchange Data Set -- 8.4.3 SGEMM GPU Kernel Performance Data Set -- 8.4.4 CSM (Conventional and Social Media Movies) Data Set…”

Tabla de Contenidos: “…Communication and collaboration -- Crisis preparedness -- Risk assessment -- Risk identification methods -- Qualitative risk assessment -- Quantitative risk assessment -- Risk heat maps -- Risk tolerance and assessment -- Risk scenarios and sensitivity analysis -- Risk ranking and prioritization -- Risk mitigation strategies -- Risk and trust management roadmap -- Risk management frameworks for identity networks -- Summary -- Chapter 7: Informed Consent and Why It Matters -- What is informed consent? …”

Tabla de Contenidos: “…Vector indexing -- Vector libraries -- Vector databases -- Loading and retrieving in LangChain -- Document loaders -- Retrievers in LangChain -- kNN retriever -- PubMed retriever -- Custom retrievers -- Implementing a chatbot -- Document loader -- Vector storage -- Memory -- Conversation buffers -- Remembering conversation summaries -- Storing knowledge graphs -- Combining several memory mechanisms -- Long-term persistence -- Moderating responses -- Summary -- Questions -- Chapter 6: Developing Software with Generative AI -- Software development and AI -- Code LLMs -- Writing code with LLMs -- StarCoder -- StarChat -- Llama 2 -- Small local model -- Automating software development -- Summary -- Questions -- Chapter 7: LLMs for Data Science -- The impact of generative models on data science -- Automated data science -- Data collection -- Visualization and EDA -- Preprocessing and feature extraction -- AutoML -- Using agents to answer data science questions -- Data exploration with LLMs -- Summary -- Questions -- Chapter 8: Customizing LLMs and Their Output -- Conditioning LLMs -- Methods for conditioning -- Reinforcement learning with human feedback -- Low-rank adaptation -- Inference-time conditioning -- Fine-tuning -- Setup for fine-tuning -- Open-source models -- Commercial models -- Prompt engineering -- Prompt techniques -- Zero-shot prompting -- Few-shot learning -- Chain-of-thought prompting -- Self-consistency -- Tree-of-thought -- Summary -- Questions -- Chapter 9: Generative AI in Production -- How to get LLM apps ready for production -- Terminology -- How to evaluate LLM apps -- Comparing two outputs -- Comparing against criteria -- String and semantic comparisons -- Running evaluations against datasets -- How to deploy LLM apps -- FastAPI web server -- Ray -- How to observe LLM apps -- Tracking responses -- Observability tools…”

Tabla de Contenidos: “…Ordinal Scales; 4.3.5. Rank Scales; 4.3.6. Interval Scales; 4.3.7. Ratio Scales; 4.4. …”