Tabla de Contenidos: “…Recommandations pour améliorer le fonctionnement du marché du travail -- Bibliographie -- Chapitre 2. Principes fondamentaux d'un meilleur fonctionnement du marché du logement au Chili -- Une part importante de la population est mal logée -- Graphique 2.1. …”

Tabla de Contenidos: “…Contributions à l'excédent budgétaire structurel nécessaire en 2003 -- Le gel fiscal -- Encadré 5. Les principes du gel fiscal -- Graphique 29. Impôt périodique sur les biens immobiliers -- Renforcer la maîtrise des dépenses et améliorer leur efficacité -- Encadré 6. …”

Tabla de Contenidos: “…Indicateurs de transition -- Politique nationale de la concurrence -- Le cadre de la réforme -- Encadré 5. Principes de neutralité concurrentielle applicables aux entreprises publiques -- Révision de la législation -- Réformes des industries d'infrastructure -- Graphique 37. …”

Tabla de Contenidos: “…Nouveaux enjeux -- Notes -- Annexe 1. Principes d'action -- Annexe 2. Critères opérationnels -- Annexe 3. …”

Tabla de Contenidos: “…Incitations à travailler pour un principal apporteur de revenu dans un couple avec enfants -- Graphique 1.14. …”

Tabla de Contenidos: “…Personal profesional (puestos de tiempo parcial y de tiempo completo) en el Organismo del Gobierno Central designado como principal centro para la integridad -- La reciente conformación de tres grupos de trabajo en la Secretaría de Transparencia es un paso hacia una división del trabajo más eficiente, que podría ser mejorada mediante un ejercicio de desarrollo organizacional en el que se discutan el enfoque estratégico, las prioridades, límites y mecanismos internos de coordinación…”

Tabla de Contenidos: “…L'huile végétale est le principal produit de base utilisé pour produire du biodiesel…”

Tabla de Contenidos: “…. -- Notes -- Annexe I. Principes d'action -- Annexe II. Critères opérationnels -- Annexe III. …”

Tabla de Contenidos: “…Intro -- Table des matières -- Statistiques de base de la Hongrie, 2012 -- Résumé -- Principales conclusions -- Principales recommandations -- Évaluation et recommandations -- Une croissance plus forte et plus inclusive -- Le principal enjeu pour les pouvoirs publics est de stabiliser l'économie -- Graphique 1. …”

Tabla de Contenidos: “…Baisse des stocks d'oléagineux de l'OCDE -- Les États-Unis demeurent le principal acteur sur le marché des protéines -- Graphique 15. …”

Tabla de Contenidos: “…Le rôle des investisseurs étrangers dans les grandes privatisations, 1998 -- Les liens entre privatisation et gouvernement d'entreprise -- Encadré 6. Principes de gouvernement d'entreprise : évolution dans les États baltes -- La structure du capital après la privatisation et la création d'entreprises -- La dynamique actionnariale après la privatisation ou la création d'entreprises -- Structure de la propriété et performance -- Tableau 16. …”

Tabla de Contenidos: “…Sécurité de revenu : l'objectif principal est-il atteint ? -- Bien-être économique relatif -- Graphique 3.2. …”

Tabla de Contenidos: “…Indicateur du coin fiscal dans l'impôt sur le revenu applicable au second apporteur par rapport à celui du principal apporteur de revenus -- Placer les services financiers sur un pied d'égalité avec les autres secteurs -- Réduction des distorsions affectant les décisions financières des ménages -- Atténuer certains effets négatifs de la décentralisation et de la concurrence fiscale sur l'efficience et l'équité -- La décentralisation de l'impôt sur les bénéfices des sociétés a favorisé des taux faibles mais génère par ailleurs certaines distorsions -- Graphique 1.6. …”

Tabla de Contenidos: “…Le chômage des moins qualifiés est le principal défi que doit relever la Slovaquie -- Les aides à la recherche d'emploi pourraient être plus efficaces -- Graphique 2.7. …”

Tabla de Contenidos: “…-- 8.2 A Few Practical Concerns -- 8.3 Binary versus Multiclass -- 8.4 Example Script -- 8.5 Specific Classifiers -- 8.6 Evaluating Classifiers -- 8.7 Selecting Classification Cutoffs -- 8.8 Further Reading -- 8.9 Glossary -- Chapter 9 Technical Communication and Documentation -- 9.1 Several Guiding Principles -- 9.2 Slide Decks -- 9.3 Written Reports -- 9.4 Speaking: What Has Worked for Me -- 9.5 Code Documentation -- 9.6 Further Reading -- 9.7 Glossary -- Part II Stuff You Still Need to Know -- Chapter 10 Unsupervised Learning: Clustering and Dimensionality Reduction -- 10.1 The Curse of Dimensionality -- 10.2 Example: Eigenfaces for Dimensionality Reduction -- 10.3 Principal Component Analysis and Factor Analysis -- 10.4 Skree Plots and Understanding Dimensionality -- 10.5 Factor Analysis -- 10.6 Limitations of PCA -- 10.7 Clustering -- 10.8 Further Reading -- 10.9 Glossary -- Chapter 11 Regression -- 11.1 Example: Predicting Diabetes Progression -- 11.2 Least Squares -- 11.3 Fitting Nonlinear Curves -- 11.4 Goodness of Fit: R2 and Correlation -- 11.5 Correlation of Residuals -- 11.6 Linear Regression -- 11.7 LASSO Regression and Feature Selection -- 11.8 Further Reading -- 11.9 Glossary -- Chapter 12 Data Encodings and File Formats -- 12.1 Typical File Format Categories -- 12.2 CSV Files -- 12.3 JSON Files -- 12.4 XML Files…”

Tabla de Contenidos: “…1.15.5 Superconductors -- 1.15.6 3D printing -- 1.15.7 Autonomous vehicle -- 1.16 Conclusion -- References -- Chapter 2: Advances of deep learning and related applications -- 2.1 Introduction -- 2.2 Deep learning techniques -- 2.3 Multilayer perceptron -- 2.4 Convolutional neural network -- 2.5 Recurrent neural network -- 2.6 Long-term short-term memory -- 2.7 GRU -- 2.8 Autoencoders -- 2.9 Attention mechanism -- 2.10 Deep generative models -- 2.11 Restricted Boltzmann machine -- 2.12 Deep belief network -- 2.13 Modern deep learning platforms -- 2.13.1 PyTorch -- 2.13.2 TensorFlow -- 2.13.3 Keras -- 2.13.4 Caffe (Convolutional architecture for fast feature embedding) and Caffe2 -- 2.13.5 Deeplearning4j -- 2.13.6 Theano -- 2.13.7 Microsoft cognitive toolkit (CNTK) -- 2.14 Challenges of deep learning -- 2.15 Applications of deep learning -- 2.16 Conclusion -- References -- Chapter 3: Machine learning for big data and neural networks -- 3.1 Introduction -- 3.2 Machine learning and fundamentals -- 3.2.1 Supervised learning -- 3.2.2 Decision trees -- 3.2.3 Linear regression -- 3.2.4 Naive Bayes -- 3.2.5 Logistic regression -- 3.3 Unsupervised learning -- 3.3.1 K-Means algorithm -- 3.3.2 Principal component analysis -- 3.4 Reinforcement learning -- 3.5 Machine learning in large-scale data -- 3.6 Data analysis in big data -- 3.7 Predictive modelling -- 3.7.1 Understanding customer behavior and preferences -- 3.7.2 The role of supply chain and performance management in organizational success -- 3.7.3 Management of quality and enhancement -- 3.7.4 Risk mitigation and detection of fraud -- 3.8 Neural networks -- 3.8.1 Artificial neural network -- 3.8.2 RNN -- 3.8.3 CNN -- 3.8.4 Deep learning using convolutional neural networks to find building defects -- 3.9 Data generation and manipulation -- 3.9.1 Generative Adversarial Networks…”

Tabla de Contenidos: “…8.6.3 Technologies of Industry 5.0 -- 8.6.4 Limitations of Industry 5.0 -- 8.6.5 Future Direction -- 8.7 Conclusion -- References -- Chapter 9 The Role of Cutting-Edge Technologies in Revolutionary Industry 5.0 -- 9.1 Introduction -- 9.2 Industry 5.0 As Industrial Revolution -- 9.2.1 About Industry 5.0 -- 9.2.2 Industry 5.0: The Cutting-Edge Technology -- 9.2.3 Industry 5.0: The Way to Enable Technologies -- 9.2.3.1 Individualized Human-Machine Interaction -- 9.2.3.2 Bio-Inspired Technologies and Smart Materials -- 9.2.3.3 Digital Twins as Well as Simulation -- 9.2.3.4 Transmission of Data, Analysis and Storage -- 9.2.3.5 Artificial Intelligence -- 9.2.3.6 Efficiency of Technology, Storage, Renewables, and Autonomy -- 9.3 The Role Of Workers In The Industry 5.0 -- 9.3.1 Work-Related Stress and Disease -- 9.3.2 Emerging Risks -- 9.3.2.1 Wearables the Smart Ones -- 9.3.2.2 Cobots and Robots -- 9.3.2.3 Virtual Reality/Augmented Reality -- 9.3.2.4 ExoSkeleton -- 9.3.2.5 Digital Twin -- 9.3.2.6 Wireless Communication Technology -- 9.4 Path Toward Society 5.0 -- 9.5 Conclusion -- References -- Chapter 10 Managing Industry 5.0: The Next Frontier for Artificial Intelligence and Machine Learning Algorithms -- 10.1 Introduction -- 10.2 Supervised Learning -- 10.2.1 Decision Tree -- 10.2.2 Naïve Bayes -- 10.2.3 Support Vector Machine -- 10.3 Unsupervised Learning -- 10.4 Neural Networks Workflow -- 10.4.1 Principal Component Analysis -- 10.4.2 K-Means Clustering -- 10.5 Semi-Supervised Learning -- 10.5.1 Transductive Support Vector Machines -- 10.5.2 Generative Models -- 10.5.3 Self-Training -- 10.6 Reinforcement Learning -- 10.7 Multitasking Learning -- 10.8 Ensemble Learning -- 10.8.1 Boosting -- 10.8.2 Bagging -- 10.9 Deep Learning (Neural Network) -- 10.9.1 Supervised Neural Network -- 10.9.2 Unsupervised Neural Network -- 10.9.3 Reinforced Neural Network…”

Tabla de Contenidos: “…3.3.2 Dimensionality Reduction -- 3.4 Importance of Dimensionality Reduction in Machine Learning -- 3.4.1 Methods of Dimensionality Reduction -- 3.4.1.1 Principal Component Analysis (PCA) -- 3.4.1.2 Linear Discriminant Analysis (LDA) -- 3.4.1.3 Generalized Discriminant Analysis (GDA) -- 3.5 Distance Measures -- 3.6 Clustering -- 3.6.1 Algorithms in Clustering -- 3.6.2 Applications of Clustering -- 3.6.3 Iterative Distance-Based Clustering -- 3.7 Hierarchical Model -- 3.8 Density-Based Clustering -- 3.8.1 DBSCAN -- 3.8.2 OPTICS -- 3.9 Role of Machine Learning in Factories of the Future -- 3.10 Identification of the Probable Customers -- 3.11 Conclusion -- References -- Chapter 4 Understanding Neural Networks -- 4.1 Introduction -- 4.2 Components of Neural Networks -- 4.2.1 Neurons -- 4.2.2 Synapses and Weights -- 4.2.3 Bias -- 4.2.4 Architecture of Neural Networks -- 4.2.5 How Do Neural Networks Work? …”

Tabla de Contenidos: “…Hospitals, 2018 -- Emergency Department Visits Involving Dental Conditions, 2018 -- Diabetes-Related Inpatient Stays, 2018 -- Overview of Clinical Conditions With Frequent and Costly Hospital Readmissions by Payer, 2018 -- Most Frequent Principal Diagnoses for Inpatient Stays in U.S. Hospitals, 2018 -- COVID-19-Related Hospitalizations in 13 States, by Patient Race/Ethnicity, 2020 -- COVID-19-Related Hospitalizations in 13 States, by Patient Location, 2020 -- COVID-19-Related Hospitalizations in 13 States, by Expected Payer, 2020 -- COVID-19-Related Hospitalizations in 13 States, by Community-Level Income, 2020 -- COVID-19-Related Hospitalizations in Nine States, by Race/Ethnicity, 2020 -- Opioid-Related and Stimulant-Related Adult Inpatient Stays, 2012-2018 -- Cancer-Related Hospitalizations for Adults, 2017 -- Emergency Department Visits Involving Influenza and Influenza-Like Illnesses, 2016-2018 -- Costs of Emergency Department Visits in the United States, 2017 -- Impact of Hurricanes on Injury-Related Emergency Department Visits, 2005-2016 -- Overview of Emergency Department Visits Related to Injuries, by Cause of Injury, 2017 -- Health System Affiliation and Characteristics of Inpatient Stays at Rural and Metropolitan Hospitals, 2016 -- Geographic Variation in Potentially Preventable Inpatient Stays for Chronic Health Conditions, 2016 -- Emergency Department Visits Related to Suicidal Ideation or Suicide Attempt, 2008-2017 -- Medicare Advantage Versus the Traditional Medicare Program: Costs of Inpatient Stays, 2009-2017 -- National Inpatient Hospital Costs: The Most Expensive Conditions by Payer, 2017 -- Social Determinants of Health and County Population Rates of Opioid-Related Inpatient Stays and Emergency Department Visits, 2016 -- Characteristics and Costs of Potentially Preventable Inpatient Stays, 2017 -- Hospital Burden of Opioid-Related Inpatient Stays: Metropolitan and Rural Hospitals, 2016 -- Costs of Emergency Department Visits for Mental and Substance Use Disorders in the United States, 2017 -- Hospital Inpatient Stays Related to Opioid Use Disorder and Endocarditis, 2016 -- Inpatient Stays and Emergency Department Visits Involving Traumatic Brain Injury, 2017 -- Inpatient Hospital Stays and Emergency Department Visits Involving Influenza, 2006-2016 -- High-Volume Invasive, Therapeutic Ambulatory Surgeries Performed in Hospital-Owned Facilities, 2016 -- Characteristics of Inpatient Hospital Stays Involving Sickle Cell Disease, 2000-2016 -- Costs of Pediatric Hospital Stays, 2016 -- Inpatient Stays Involving Mental and Substance Use Disorders, 2016 -- Characteristics of 30-Day All-Cause Hospital Readmissions, 2010-2016 -- Opioid-Related Hospital Stays Among Women in the United States, 2016 -- Overview of U.S. …”

Tabla de Contenidos: “…7.7.10 Auditor's Rights, Duties and Liabilities -- 7.7.11 Duties of a Company Auditor -- 7.7.12 Liabilities of Company Auditor -- 7.8 Case Studies -- Chapter 8: Divisible Profits and Dividends -- 8.1 Meaning of Divisible Profit -- 8.2 Meaning of Dividend -- 8.3 Concept of Profit -- 8.4 Profit Versus Divisible Profit -- 8.5 Principal Determinants of Divisible Profit -- 8.6 Provisions of the Companies Act Relating to Payment of Dividend -- 8.7 Provisions of the Companies Act Regarding Unpaid and Unclaimed Dividend -- 8.8 Payment of Dividend Out of Capital Profit -- 8.9 Payment of Dividend Out of Capital -- 8.10 General Guidelines for Distribution of Dividend -- 8.11 Auditor's Duty As Regards Payment of Dividend -- 8.12 Payment of Interim Dividend and the Role of Auditors -- Chapter 9: Audit Report and Certificate -- 9.1 Definition of Report -- 9.2 Definition of Audit Report -- 9.3 Value of Audit Report -- 9.4 Essentials of Good Audit Report -- 9.5 Scope of Audit Report -- 9.6 Signing of the Audit Report -- 9.7 Contents of Audit Report -- 9.8 Forms of Audit Report -- 9.9 Basic Elements of Audit Report -- 9.10 Audit Report and Audit Certificate -- 9.11 Types of Auditor's Report -- 9.12 Modified Reports -- 9.12.1 Matters That Do Not Affect the Auditor's Opinion -- 9.12.2 Matters That Do Affect the Auditor's Opinion -- 9.13 Types of Audit Certificate -- 9.14 Auditor's Report and 'True and Fair' View -- 9.15 Specimen of Clean Audit Report -- 9.16 Specimen of Qualified Audit Report -- Chapter 10: Audit of Banks -- 10.1 Introduction -- 10.2 Legislation Relevant to Audit of Banks -- 10.2.1 Legal Provisions Relating to Accounts -- 10.2.2 Legal Provisions Relating to Audit -- 10.3 Approach to Bank Audit -- 10.4 Stage in Audit of Banks -- 10.4.1 Preliminary Work -- 10.4.2 Evaluation of Internal Control System…”