Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Dedication -- Contributors -- Table of Contents -- Preface -- Part 1: Concepts of Machine Learning -- Chapter 1: Introduction to Machine Learning with Qlik -- Introduction to Qlik tools -- Insight Advisor -- Qlik AutoML -- Advanced Analytics Integration -- Basic statistical concepts with Qlik solutions -- Types of data -- Mean, median, and mode -- Variance -- Standard deviation -- Standardization -- Correlation -- Probability -- Defining a proper sample size and population -- Defining a sample size -- Training and test data in machine learning -- Concepts to analyze model performance and reliability -- Regression model scoring -- Multiclass classification scoring and binary classification scoring -- Feature importance -- Summary -- Chapter 2: Machine Learning Algorithms and Models with Qlik -- Regression models -- Linear regression -- Logistic regression -- Lasso regression -- Clustering algorithms, decision trees, and random forests -- K-means clustering -- ID3 decision tree -- Boosting algorithms and Naive Bayes -- XGBoost -- Gaussian Naive Bayes -- Neural networks, deep learning, and natural-language models -- Summary -- Chapter 3: Data Literacy in a Machine Learning Context -- What is data literacy? …”

Tabla de Contenidos: “…-- A brief history of the genre -- Characteristics of an RPG -- Story and setting -- A glimpse of a cRPG story -- Exploration and quests -- A glimpse at our exploration and quests -- Inventory system -- Character attributes and actions -- Experience and leveling -- Combat system -- User interaction and graphics -- Existing or upcoming RPG games -- MU Legend -- Titan Siege -- Citadel: Forged with Fire -- Cyberpunk 2077 -- Patterns in RPG -- Terminology -- Contest tree -- Last Man Standing -- Negotiated Contest -- Summary -- Chapter 2: Planning the Game -- Building our RPG -- The story of the Zazar dynasty -- Backstory -- Exploration and quests -- Awakening -- The village -- Broken forest - the horizon -- The kingdom -- Asset inventory -- Environment assets -- Medieval Environment Pack -- Terrain Toolkit 2017 -- Nature Starter Kit 2 -- Character assets -- Barbarians -- Orcs -- Villagers -- Free Assets -- Level design -- Setting the stage -- Terrain toolkit in a nutshell -- The Awakening -- Using the terrain model -- Using a custom toolkit -- Skybox -- Testing the level -- Creating the main menu -- Creating the GameMaster script -- Summary -- Chapter 3: RPG Character Design -- Character definitions -- Character assets -- Base character class attributes -- Character states -- Character model -- Default character models -- Barbarian -- Villager -- Orc -- Let's get started -- Rigging your model -- Character motion -- Animator Controller -- Animation states -- Character controller -- Modification to animations -- Inverse Kinematics -- Setting the animation curve -- Summary -- Chapter 4: The Game Mechanics -- Customizing the player character -- Customizable parts -- User interface…”

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Tabla de Contenidos: “…The Guardian Deity Is Believed to Control the Local Weather -- Calamities Blamed on Some Mistake in the Ritual -- Cult Places Could Be Moved to Enlarge the Agricultural Land -- The Mountain God as a Multifunctional Deity -- The Mountain Entrance and the Torii -- Boundary Marks -- Tabooed Mountain Areas -- The Bipolar Structure of Territories -- The Chigi Cross as a Symbol -- The Name of the Kami Land -- The Age of the Yorishiro Concept -- The Land-Making Motif in Creation Myths -- Conclusion -- Chapter 9 Sacred Groves and Cult Marks -- Yashikigami Worship -- A Sacred Grove on Hirado Island -- The Garō Yama of Tanegashima -- The Sacred Forest of the Ōmiwa Shrine -- The Matsushita Shrine and the Somin Sanctuary -- Cult Marks Replaced by Shrine Buildings -- Yorishiro and Ogishiro -- The Shimenawa and the Straw Snake -- Claiming Signs Made by Binding or Knotting Growing Plants -- Pacifying the Site -- Ancient Land-Claiming and the Rural Gathering Economy -- Sign-Making Dealt with in Ethnographic Studies -- Chapter 10 Comparative Notes -- The Settlement of Iceland -- Founding Sacred Groves and Colonies in Ancient Greece -- The Vedic Tradition -- Opening Up Land in Shifting Cultivation -- From Terrestrial Heavens to the Heaven in the Sky -- Bibliography -- Index…”

Tabla de Contenidos: “…Réduction des émissions imputables à la déforestation et à la dégradation des forêts et rôle de la préservation, de la gestion durable des forêts et de l'augmentation des stocks de carbone forestier dans les pays en développement (REDD+) -- Soutien public à l'utilisation des terres -- Soutien à l'agriculture -- Soutien à l'agriculture lié à l'environnement -- Soutien en faveur de la foresterie -- Biocarburants, etc. -- Réforme foncière -- Transferts budgétaires interadministrations -- Approches informationnelles, volontaires, etc. -- Approches fondées sur l'analyse du cycle de vie -- Certification obligatoire ou volontaire -- Systèmes d'information et de transmission des connaissances dans l'agriculture -- Réduction des pertes et des gaspillages alimentaires (PGA) -- Approches générales -- Exemples fournis par les études de cas -- Références -- Notes…”

Tabla de Contenidos: “…Intro -- Preface and Acknowledgments -- Contents -- Introduction -- Part I Forestry -- Peter Berck's Contributions to Forestry Economics -- References -- Integrated Management of Bark Beetles: Economic Contributions of Peter Berck and Foundational EntomologicalResearch -- 1 Introduction -- 2 System Structure -- 3 Treatment Strategies and Tactics -- 3.1 Stand Treatments: Thinning -- 3.2 Pest Population Treatments -- 3.2.1 Insecticides -- 3.2.2 Semiochemicals -- 4 Synthesis and Future Research -- References -- Assessing the Potential of Eucalyptus Plantation to Supply Timber for Greener Development in China -- 1 Introduction -- 2 Industrial Policies and Forest Production in China -- 3 Assessment of Eucalyptus Plantation in Southern China -- 3.1 Historical Trend of Eucalyptus Plantation Forests (Guangxi) -- 3.1.1 Area, Volume, and Timber Production -- 3.2 Comparison of Timber Yield Curves: Eucalyptus, Chinese Fir, and Masson Pine -- 3.3 Comparison of Carbon Sequestration Potential Among Main Species -- 3.4 Expected Land Value -- 3.5 The Private Sector in Eucalyptus Development -- 4 Conclusion -- References -- Hedging with a Housing Start Futures Contract -- 1 Background -- 2 Introduction -- 3 Theory -- 3.1 Optimal Hedging -- 3.2 Materials Supplier -- 3.3 The Builder -- 4 General Equilibrium -- 5 Pricing of the Futures Contract -- 5.1 Predicting Starts -- 6 Constructing the Contract -- 7 Value of Contract -- 8 Hedging -- 9 The Relationship Between Building Materials Output and Construction Output -- 10 Earnings -- 11 Predicting Earnings -- 12 Aggregate Production Regressions -- 13 Basis and Basis Risk -- 14 Regional Basis Risk -- 15 Survey of Potential Users of Housing Start Futures as a Hedge -- References -- Part II Agriculture and Fisheries -- The Future of Agriculture -- 1 Transition from Hunting to Farming…”

Tabla de Contenidos: “…7.3.3 Methodology Flow Chart -- 7.3.4 Data Pre-Processing -- 7.3.5 Models Deployed -- 7.3.6 Training and Testing -- 7.4 Analysis -- 7.4.1 Datasets -- 7.4.2 Feature Extraction -- 7.4.3 Splitting of Data into Samples -- 7.4.4 Algorithms Used -- 7.4.4.1 Multinomial Logistic Regression -- 7.4.4.2 K-Nearest Neighbors -- 7.4.4.3 Decision Tree -- 7.4.4.4 Support Vector Machine (SVM) -- 7.4.4.5 Random Forest -- 7.5 Results and Discussion -- 7.5.1 Importance of Classification Reports -- 7.5.2 Importance of Confusion Matrices -- 7.5.3 Decision Tree -- 7.5.4 Random Forest -- 7.5.5 K-Nearest Neighbors -- 7.5.6 Logistic Regression -- 7.5.7 Support Vector Machine -- 7.5.8 Comparison of the Algorithms -- 7.5.8.1 Accuracies -- 7.5.8.2 Precision and Recall -- 7.6 Conclusions -- 7.7 Scope of Future Work -- References -- Chapter 8 Smart Vision-Based Sensing and Monitoring of Power Plants for a Clean Environment -- 8.1 Introduction -- 8.1.1 Color Image Processing -- 8.1.2 Motivation -- 8.1.3 Objectives -- 8.2 Literature Review -- 8.2.1 Gas Turbine Power Plants -- 8.2.2 Artificial Intelligent Methods -- 8.3 Materials and Methods -- 8.3.1 Feature Extraction -- 8.3.2 Classification -- 8.4 Results and Discussion -- 8.4.1 Fisher's Linear Discriminant Function (FLDA) and Curvelet -- 8.5 Conclusion -- 8.5.1 Future Scope of Work -- References -- Chapter 9 Implementation of FEM and Machine Learning Algorithms in the Design and Manufacturing of Laminated Composite Plate -- Abbreviations -- 9.1 Introduction -- 9.2 Numerical Experimentation Program -- 9.3 Discussion of the Results -- 9.4 Conclusion -- Acknowledgements -- References -- Part II: Integration of Digital Technologies to Operations -- Chapter 10 Edge Computing-Based Conditional Monitoring -- 10.1 Introduction -- 10.1.1 Problem Statement -- 10.2 Literature Review -- 10.3 Edge Computing -- 10.4 Methodology…”

Tabla de Contenidos: “…Model fitting and evaluation -- Statistical significance of regression outputs -- Generalize estimating equations -- Mixed effects models -- Time series data -- Generalized linear models -- Applying regularization to linear models -- Tree methods -- Decision trees -- Random forest -- Scaling out with PySpark - predicting year of song release -- Summary -- Chapter 5: Putting Data in its Place - Classification Methods and Analysis -- Logistic regression -- Multiclass logistic classifiers: multinomial regression -- Formatting a dataset for classification problems -- Learning pointwise updates with stochastic gradient descent -- Jointly optimizing all parameters with second-order methods -- Fitting the model -- Evaluating classification models -- Strategies for improving classification models -- Separating Nonlinear boundaries with Support vector machines -- Fitting and SVM to the census data -- Boosting: combining small models to improve accuracy -- Gradient boosted decision trees -- Comparing classification methods -- Case study: fitting classifier models in pyspark -- Summary -- Chapter 6: Words and Pixels - Working with Unstructured Data -- Working with textual data -- Cleaning textual data -- Extracting features from textual data -- Using dimensionality reduction to simplify datasets -- Principal component analysis -- Latent Dirichlet Allocation -- Using dimensionality reduction in predictive modeling -- Images -- Cleaning image data -- Thresholding images to highlight objects -- Dimensionality reduction for image analysis -- Case Study: Training a Recommender System in PySpark -- Summary -- Chapter 7: Learning from the Bottom Up - Deep Networks and Unsupervised Features -- Learning patterns with neural networks -- A network of one - the perceptron -- Combining perceptrons - a single-layer neural network -- Parameter fitting with back-propagation…”

Tabla de Contenidos: “…Notes -- References -- Chapter 5: Unsupervised Learning -- K -means Clustering -- Hierarchical Clustering -- Association Rule Mining -- K -Nearest Neighbors -- Summary -- Exercise -- References -- Chapter 6: Supervised Learning -- Introduction to Artificial Neural Networks -- Forward and Backward Propagation Methods -- Architectural Types in ANN -- Hyperparameters for Tuning the ANN -- An Example of ANN Classification -- Introduction to Ensemble Learning Techniques -- Random Forest Ensemble Learning -- Introduction to AdaBoost Ensemble Learning -- Introduction to Extreme Gradient Boosting (XGB) -- Cross-Validation -- Summary -- Exercise -- References -- Chapter 7: Natural Language Processing for Analyzing Unstructured Data -- Terminology for NLP -- Installing NLTK and Other Libraries -- Tokenization -- Stemming -- Stopwords -- Part of Speech Tagging -- Bag-of-Words (BOW) -- n- grams -- Sentiment and Emotion Classification -- Summary -- Exercise -- References -- Chapter 8: Predictive Analytics Using Deep Neural Networks -- Introduction to Deep Learning -- The Deep Neural Networks and Its Architectural Variants -- Multilayer Perceptron (MLP) -- Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) -- AlexNet -- VGGNet -- Inception -- ResNet and GoogLeNet -- Hyperparameters of DNN and Strategies for Tuning Them -- Activation Function -- Regularization -- Number of Hidden Layers -- Number of Neurons Per Layer -- Learning Rate -- Optimizer -- Batch Size -- Epoch -- Weight and Biases Initialization -- Grid Search -- Random Search -- Deep Belief Networks (DBN) -- Analyzing the Boston Housing Dataset Using DNN -- Summary -- Exercise -- References -- Chapter 9: Convolutional Neural Networks (CNN) for Predictive Analytics -- Convolution Layer -- Padding and Strides -- ReLU LAYER -- Pooling Layer -- Fully Connected Layer…”

Tabla de Contenidos: “…Mapa del Plan de Manejo ForestalAnexo 6. Mapa detallado del territorio awá y sus comunidades (centros awá); Anexo 7. …”

Tabla de Contenidos: “….; LO HISTÓRICO Y LO FORESTAL EN LAS ORDENACIONES RESINERAS ESPAÑOLAS DEL SIGLO XX…”

Tabla de Contenidos: “….; LO HISTÓRICO Y LO FORESTAL EN LAS ORDENACIONES RESINERAS ESPAÑOLAS DEL SIGLO XX; LA IMAGEN DEL ENEMIGO EN LA PUBLICACIÓN LA FLACA: LAS DIFICULTADES DE INTERPRETAR LAS ILUSTRACIONES; CAMBIO Y DECADENCIA: ELEMENTOS DE DEFINICIÓN DEL PODER SOCIAL DE UNA ELITE A COMIENZOS DEL XX.; LA MONARQUÍA ISABELINA Y LA CULTURA REPUBLICANA EN EL SEXENIO A PARTIR DE LOS ENSAYOS HISTORIOGRÁFICOS DE ANTONIO ALTADILL (1868-1870)…”

Tabla de Contenidos: “…VI TALLER INTERNACIONAL DE EVALUACIÓN DE LA CALIDAD Y ACREDITACIÓN EN LA EDUCACIÓN SUPERIOR; PÁGINA LEGAL; CAL 002 AUTOEVALUACIÓN DE LA CALIDAD EN LA CARRERA DE INGENIERÍA FORESTAL. UNA EXPERIENCIA; CAL 003 LOS ESTUDIANTES PROTAGONISTAS CLAVES EN ELPROCESO DE ACREDITACIÓN (...); CAL 005 EVALUACIÓN DE LA CALIDAD DE LA FORMACIÓN PROFESIONAL EN LA SEDE (...); CAL 007 EVALUACIÓN DEL IMPACTO DE LOS PROCESOS DE EVALUACIÓN Y ACREDITACIÓN (...); CAL 008 PROPUESTA METODOLÓGICA PARA EL SEGUIMIENTO DE LOS EGRESADOS (...)…”

Tabla de Contenidos: “…Beneficios fiscales en tributos no ambientales (finalidad recaudatoria); a) Actividad forestal y de bosques; b) Energía eólica y solar; c) Inversiones para bosques cultivados; d) Combustible a base de hidrógeno; e) Exploración y explotación de hidrocarburos; f) Fuentes renovables de energía destinada a la producción de energía eléctrica; 6. …”

Tabla de Contenidos: “…Borrelia and birds""; ""2.3.1.2. Borrelia and forest""; ""2.3.1.3. Other environmental factors""; ""2.3.2. …”

Tabla de Contenidos: “…-- 14 Making Friends in a Natural Way: How to Get an Introduction without Seeming Pushy -- 15 I Can't See the Forest for the Trees: Segmenting Your Ecosystem into Three Distinct Groups…”

Tabla de Contenidos: “…ML structure-based approaches; 4.2.3.1. Random Forest…”

Tabla de Contenidos: “…Regional Land-Atmosphere Interactions in Southern Africa: Potential Impact and Sensitivity of Forest and Plantation Change -- Part III. Science in Support of Ecosystem Management -- Chapter 11. …”

Tabla de Contenidos: “…Cover -- Half Title -- Title Page -- Copyright Page -- Table of Contents -- List of figures -- List of tables -- Details of programme committee -- Foreword -- Preface -- Chapter 1 Intelligent Hybrid Tourist Recommendations: Unifying Data Analysis and Machine Learning -- Chapter 2 An Overview of the Blockchain Technology in Healthcare Domain -- Chapter 3 Analysis of Hybrid Fuzzy-Neuro Model for Diagnosis of Depression -- Chapter 4 Industrial Applications of Artificial Intelligence and Machine Learning: A Review -- Chapter 5 Shape Memory Alloy and Artificial Intelligence -- Chapter 6 Systematic Literature Review on Diagnosis of Arrhythmia Using Intelligent Computing Methods -- Chapter 7 Forecasting Mutual Fund Volatility Using Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Model: Evidence from the Indian Mutual Fund -- Chapter 8 Diabetes Classification and Prediction Through Integrated SVM-GA -- Chapter 9 Optimizing Hyperparameters in Neural Networks Using Genetic Algorithms -- Chapter 10 Detection of Benign and Malicious DNS Traffic in ISP Network Using Machine Learning Algorithms -- Chapter 11 Comparative analysis of random forest and ThymeBoost models in machine learning -- Chapter 12 Role of Meta-Heuristic Optimization Approaches in Feature Selection for Disease Diagnosis: A Comprehensive Review -- Chapter 13 Role of AI Applications in Diagnosis of Renal Diseases: A Systematic Review -- Chapter 14 Intelligent Decision Support System for Diagnosis of Alzheimer Disease-A Systematic Review -- Chapter 15 Exploring AI-Enabled Crime: An In-Depth Analysis of Pornographic Image Morphing -- Chapter 16 Intelligent Speed Adaptation System -- Chapter 17 Analyzing the Role of Quantum Computing in Industry 4.0 -- Chapter 18 Impact of Artificial Intelligence (AI) in Cybersecurity…”