Tabla de Contenidos: “…Knowing what to do if there's no TPM module -- Performing Printer-Related Tasks -- Using the Printer Install Wizard -- Configuring print options -- Configuring the Print Server role -- Connecting to a Printer on a Print Server -- Performing Other Configuration Tasks -- Keyboard -- Mouse -- Power management -- Sound -- Language -- Fonts -- Chapter 3 Using the Control Panel -- Accessing the Control Panel -- Configuring the Control Panel -- Understanding Control Panel Items -- Chapter 4 Working with Workgroups -- Knowing What a Workgroup Is -- Knowing If a Workgroup Is Right for You -- Comparing Centralized and Group Sharing -- Configuring a Server for a Workgroup -- Changing the name of your workgroup -- Adding groups -- Creating users and adding users to the group -- Adding shared resources -- Managing Workgroups -- The Computer Management console -- The User Account window -- PowerShell -- Examining the Peer Name Resolution Protocol -- Chapter 5 Promoting Your Server to Domain Controller -- Understanding Domains -- What is a domain? -- Forests and domains and OUs, oh my! -- Understanding privileged domain groups -- Examining Flexible Single Master Operation roles on domain controllers -- Preparing to Create a Domain -- Functional levels -- Forest functional level -- Domain functional level -- Performing Domain Configuration Prerequisites -- Checking for unsupported roles and features -- Installing and configuring Domain Name System -- Installing and configuring Dynamic Host Configuration Protocol -- Configuring the Server as a Domain Controller -- Installing Active Directory Domain Services -- Configuring Active Directory Domain Services -- Converting your DNS Zone to an Active Directory Integrated Zone -- Authorizing your DHCP Server for your Active Directory environment -- Configuring the user accounts -- Sharing resources on a domain…”

Tabla de Contenidos: “…-- Technical requirements -- Detecting fake news using NLP -- Fake news classification with random forest -- About the dataset -- Importing useful libraries -- Reading and verifying the data -- NULL value check -- Combining title and text into a single column -- Cleaning and pre-processing data -- Separating the data and labels -- Converting text into numeric data -- Splitting the data -- Defining the random forest classifier -- Training the model -- Predicting the test data -- Checking the results/metrics on the test dataset -- Confusion matrix -- Launching model training on Vertex AI -- Setting configurations -- Initializing the Vertex AI SDK -- Defining the Vertex AI training job -- Running the Vertex AI job -- BERT-based fake news classification -- BERT for fake news classification -- Importing useful libraries -- The dataset -- Data preparation -- Splitting the data -- Creating data loader objects for batching -- Loading the pre-trained BERT model -- Scheduler -- Training BERT…”

Tabla de Contenidos: “…Terrestrial ecosystems -- Forest ecosystems -- Wetlands -- 3.2.2. Coastal and marine ecosystems -- 3.2.3. …”

Tabla de Contenidos: “…Gallen ; Proap : Parque Lineal de Ourém ; PWP Landscape Architecture : Kiel Triangle Plaza, Plaza Saitama ; Roderschall Landschaftarchitekten : Parque MFO ; Ravetllat & Ribas Arquitectes : Passeig Garcia Fària ; RCR Aranda Pigem Vilalta Arquitectes : Parque de Pedra Tosca ; Rosa Grena Kliass Arquitetura Paisagística : Parque da Juventude ; Rush & Wright Associates : Grand Plaza, The Centre for Ideas ; Santa-Rita Arquitectos : Parque urbano de Beja ; Scapelab : Renovación de la plaza Cufarjev ; SLA : Jardín Charlotte ; SMC Alsop : Reurbanización de Clarke Quay ; Stoa Architecture : Remodelación del Rauba Capeu ; Studio Lazzaretto : Plaza Vittorio Veneto ; Taylor Cullity Lethlean : Galeria Forest ; Tod Saunders - Saunders Architecture : Mirador Aurland ; Tommie Wilhelmsen - Sivilarkitekt MNAL : Mirador Aurland ; Toyo Ito & Architects Associates : Fira Montjuïc 2 en Barcelona ; Turenscape : Plaza Dujiangyan, Parque Zhongshan Shipyard ; Urbanus Architecture & Design : Diwang Park B, Sungang Central Plaza ; Verzone Woods Architectes : Parques y jardines Las Margas ; Vetsch Nipkow Partner Landschaftsarchitekten : Katharina Sulzer Platz ; Vladimir Djurovic Landscape Architecture : Jardín Square Four ; West 8 : Parque One-North ; Zade & Vilà Associats : Bosque de la vida…”

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: “…-- Self-classifying decision trees and AI tools -- Entropy -- One hot encoding -- Random forests -- Grid searching and A* (A-Star) -- The A* algorithm -- D* (D-Star or Dynamic A*) -- GPS path finding does not use a map! …”

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: “…-- Navigating the Platform -- Introducing Jupyter Notebooks -- Jupyter Features -- Exploring some of Jupyter's most useful features -- Converting a Jupyter Notebook to a Python Script -- Python Libraries -- Import the external libraries and set up the plotting environment -- Our First Analysis - The Boston Housing Dataset -- Loading the Data into Jupyter Using a Pandas DataFrame -- Load the Boston housing dataset -- Data Exploration -- Explore the Boston housing dataset -- Introduction to Predictive Analytics with Jupyter Notebooks -- Linear models with Seaborn and scikit-learn -- Activity: Building a Third-Order Polynomial Model -- Linear models with Seaborn and scikit-learn -- Using Categorical Features for Segmentation Analysis -- Create categorical fields from continuous variables and make segmented visualizations -- Summary -- Chapter 2: Data Cleaning and Advanced Machine Learning -- Preparing to Train a Predictive Model -- Determining a Plan for Predictive Analytics -- Preprocessing Data for Machine Learning -- Exploring data preprocessing tools and methods -- Activity: Preparing to Train a Predictive Model for the Employee-Retention Problem -- Training Classification Models -- Introduction to Classification Algorithms -- Training two-feature classification models with scikit-learn -- The plot_decision_regions Function -- Training k-nearest neighbors for our model -- Training a Random Forest -- Assessing Models with k-Fold Cross-Validation and Validation Curves -- Using k-fold cross-validation and validation curves in Python with scikit-learn -- Dimensionality Reduction Techniques…”

Tabla de Contenidos: “…-- Summary -- References -- Chapter 8: Techniques for Identifying and Removing Bias -- The bias conundrum -- Types of bias -- Easy to identify bias -- Difficult to identify bias -- The data-centric imperative -- Sampling methods -- Other data-centric techniques -- Case study -- Loading the libraries -- AllKNN undersampling method -- Instance hardness undersampling method -- Oversampling methods -- Shapley values to detect bias, oversample, and undersample data -- Summary -- Chapter 9: Dealing with Edge Cases and Rare Events in Machine Learning -- Importance of detecting rare events and edge cases in machine learning -- Statistical methods -- Z-scores -- Interquartile Range (IQR) -- Box plots -- Scatter plots -- Anomaly detection -- Unsupervised method using Isolation Forest -- Semi-supervised methods using autoencoders -- Supervised methods using SVMs -- Data augmentation and resampling techniques -- Oversampling using SMOTE -- Undersampling using RandomUnderSampler -- Cost-sensitive learning -- Choosing evaluation metrics -- Ensemble techniques -- Bagging -- Boosting -- Stacking -- Summary -- Part 4: Getting Started with Data-Centric ML -- Chapter 10: Kick-Starting Your Journey in Data-Centric Machine Learning -- Solving six common ML challenges -- Being a champion for data quality -- Bringing people together -- Taking accountability for AI ethics and fairness -- Making data everyone's business - our own experience -- Summary -- References -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…-- Exploring programming language basics -- Diving into data structures -- Space and time complexities -- Data structures -- Learning design patterns -- Creational design patterns -- Structural design patterns -- Summary -- Further reading -- Chapter 12: System Design and Architecture Landscape -- Learning about common system design patterns -- Model-View-Presenter -- Object-oriented architecture -- Domain-driven design architecture -- Event-driven architecture -- P2P architecture -- Service-oriented architecture -- Client-server architecture -- Design considerations -- Seeing the forest and the trees -- Examining an architecture landscape -- Summary -- Further reading -- Chapter 13: Enhancing Management Using Your Technical Toolset -- Driving toward clarity -- Planning -- Risk management -- Stakeholder management and communications -- Resolving conflicts -- Planning -- Risk management -- Stakeholder management and communication -- Delivering through leadership -- Summary -- Index -- Other Books You May Enjoy…”

Tabla de Contenidos: “…Wright : casa Roberts, River Forest ; E. Lutyens : casa Goddards, Abinger ; M.H. …”

Tabla de Contenidos: “…The Royal Scots Dragoon Guards - Flowers Of The Forest 10. The Proclaimers - Lets Get Married 11. …”

Tabla de Contenidos: “…Intro -- Leadership RESULTS® -- Contents -- Foreword -- Preface -- About the author -- Acknowledgements -- Introduction -- The leadership crisis -- How this book can help you -- A new road map -- Leadership Results® -- PART I LEADING IN CONTEXT -- Chapter 1 The hidden power of relationships -- All for one, and one for all -- In search of gold -- Chapter 2 The new context for leadership -- Why can't organisations see the forest for the trees? -- Adaptive challenges -- Global mindsets and cultural intelligence -- Chapter 3 Leading without maps: Sense-making -- Storytelling -- Speakership -- The power of language -- Descriptive language -- Language of action -- Language of possibility -- How does this all relate to leadership? …”

Tabla de Contenidos: “…Architektonische Konzepte für ein zukünftiges Miteinander / Trofaiach: Architectural Concepts for Future Togetherness -- Architectural Acoustics -- „The Aotearoa Forest Table“ -- Graz Open Architecture 2019 -- Reviews -- Über die Möglichkeit, Commons zu verstehen / On the Possibility of Understanding the Commons -- Die osmotische Stadt / The Osmotic City -- Das Stadthaus: Vorne Schlips, hinten Jogginghose / The Townhouse: A Tie in the Front, Sweatpants in the Back -- Gedenken nach Vorschrift / Prescribing Remembrance -- Das Büro als Produkt und Prozess / The Office as Product and Process -- Operatives Archiv / Operative Archive -- Vertragsbruch mit Mehrwert / Breach of Contract with Added Value -- Über den Gender Gap in der Architektur / (Taking) on the Architectural Gender Gap…”

Tabla de Contenidos: “…-- Summary: Getting Started -- Notes -- Chapter 3 Applying a Carbon Shock Test -- The 20 Trillion Problem -- Some Context for a Carbon Tax -- Scenario Planning for Carbon Taxes -- Summary: Have Good Processes -- Notes -- Chapter 4 Science-Based Emissions-Reduction Targets -- The Four Objectives of the Net Zero Standard -- Generally Accepted GHG Accounting and Reporting Principles -- Five Steps to Set Science-Based Targets -- Science-Based Targets Unique to the Power Sector -- Science-Based Targets Unique to the Forest, Land, and Agriculture (FLAG) Sector -- Updating and Communicating Targets -- The Validation Process -- Summary: Science-Based Targets Are Not a Transition Plan -- Notes -- Part III The Four Pathways to Net Zero -- Chapter 5 The Four Pathways to Net Zero: An Introduction…”

Tabla de Contenidos: “…10 Galician Landscapes through the Camera Lens: Visualizing Combat Spaces of the First World War -- 1 Practices of Natural Landscape Photography During the First World War: Historiographical Debates and Methodological Approaches -- 2 The Wartime Visual Travelogue: Galician Landscapes through the Photographic Lens -- 3 Visualizing the Trauma of Military Defeat -- 4 Industrial War through the Camera Lens: a Record of Destroyed Spaces -- 5 Conclusion -- Primary Sources (Photographic Material From the Archives): -- Secondary Literature: -- Part 4: Imperial Debris: Demilitarization of Landscapes in the Era of Imperial Collapse -- 11 Toxic Heritage of the War: Demilitarization of Eastern Front Landscapes -- 1 Introduction -- 2 Battlefield Sanitation -- 3 The Effects of Gas Attacks on Fields and Forests -- 4 Demobilization of Animals -- 5 Conclusion -- 12 Conceptualizing the Post-Battle Landscape: the First World War -- 1 Introduction -- 2 Transforming the Battlefield in Western Galicia: between Military Pragmatism and Imperial Enterprise -- 3 Creating a Commemorative Landscape for Fallen Soldiers -- 4 A Grand Monument to the Gorlice Victory -- 5 Conclusion: the Monument and Soldier's Grave as a New Element of the Cultural Landscape -- Primary Sources -- Secondary Literature -- 13 First World War Memorialization in Ukrainian Lands (Late 1910s to 1930s) -- 1 Perpetuating the Memory of Fallen Soldiers during the War -- 2 Institutionalization of Memory in the Inter-War Period -- 2.1 The Ukrainian State and the Soviet Union -- 2.2 The First Czechoslovak Republic -- 2.3 The Kingdom of Romania -- 2.4 The Second Polish Republic -- 3 Conclusion -- Primary Sources -- Secondary Literature -- 14 Conflict Landscapes at the Edge of Empire: Archaeology and Environment -- 1 A Traditional Routeway -- 2 The Great Arab Revolt Project (GARP) 2006-2014…”

Tabla de Contenidos: “…Summary of the study -- 6.2. Forest timber supply problem -- 6.3. Tactical planning model -- 6.4. …”

Tabla de Contenidos: “…Piasecki: Similarity Forest for Time Series Classification -- K. Hayashi, E. …”

Tabla de Contenidos: “…Why Automated Software Testing Fails and Pitfalls to Avoid -- 4.1 R&D Does Not Generally Focus on Automated or Manual Testing Efforts -- 4.2 AST Myths and Realities -- 4.3 Lack of Software Development Considerations for AST -- 4.4 The Forest for the Trees-Not Knowing Which Tool to Pick -- 4.5 Lack of Automation Standards across Tool Vendors -- 4.6 Lack of Business Case -- Summary -- Notes -- II. …”

Tabla de Contenidos: “…4.5 Case Study: Outpatient Care 141 -- 5 Clinical Applications 149 -- 5.1 Surgical Applications 150 -- 5.2 Dental Applications 161 -- 5.3 Scalp Applications 165 -- 5.4 Post-Operative Applications 171 -- 5.5 Emergency Case Studies 181 -- 6 Smart Home, Smart Office 189 -- 6.1 Application Requirements 190 -- 6.2 Energy and Resource Optimisation 198 -- 6.3 Smart Home Case Studies 203 -- 6.4 Smart Office Case Studies 212 -- 7 Public Safety Applications 221 -- 7.1 Monitoring Airborne Toxins 223 -- 7.2 Monitoring Forest Fires 228 -- 7.3 Monitoring Structural Health 233 -- 7.4 Monitoring Traffic 242 -- 7.5 Case Study: Sink Location 250 -- 7.6 Case Study: Congestion Avoidance 254 -- 7.7 Case Study: Target Tracking and Surveillance 257 -- 8 Geographical Applications 261 -- 8.1 Farming Industry 261 -- 8.2 Mining Industry 270 -- 8.3 Transportation 274 -- 8.4 Remote Sensing and Imaging 279 -- 8.5 Earth Resources Observation 282 -- 8.6 Underwater Sensing 287 -- Appendix A Further Details on Potential Devices and Systems 293 -- A.1 Accelerometers 293 -- A.2 Equipment 295 -- A.2.1 Tomography 296 -- A.2.2 Gadgets 300 -- A.3 Smart Sensors Devices 302 -- A.3.1 Mica2 and Mica2Dot 302 -- A.3.2 MicaZ 307 -- A.3.3 Telos and TMote Sky 308 -- A.3.4 Fleck3 and FleckNano 310 -- A.3.5 3Mate! …”