Tabla de Contenidos: “…The Nineteenth Century: Evolutionism, Racism and Human Hierarchies -- An Evolutionary Century -- Time: Epistemic Centrality, Linearity, Irreversibility and Variability -- Change: Immanence, Stages and Directionality, Progress and Decadence, Continuity and Novelty -- The Darwinian Theory -- Sociohistorical Evolutionism and Biological Evolution -- Diversity, Inequality, Racism and other Hierarchies -- Chapter 6. …”

Tabla de Contenidos: “…Cover; Title Page; Copyright Page; Contents; List of Figures; List of Tables; Notes on Contributors; Contributor Addresses; Chapter 1: Introduction; Chapter 2: Linear Reflections: Ritual Memory and Material Repetition at the Thirteen Altars at Lavinium; Chapter 3: Re-Placing the Nile: Water and Mimesis in the Roman Practice of Egyptian Religion at Pergamon; Chapter 4: Itinerant Creeds: The Chinese Northern Frontier; Chapter 5: The Dig at the End of the World: Archaeology and Apocalypse. …”
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Tabla de Contenidos: “…-- Chapter 4: Roadmap to a RESTART -- Chapter 5: Redesign rather than standstill -- Chapter 6: Experimentation rather than turnaround -- Chapter 7: Service-logic rather than product-logic -- Chapter 8: The circular rather than the linear economy -- Chapter 9: Alliances rather than solo-runs -- Chapter 10: Results rather than indulgences -- Chapter 11: Three-dimensionality rather than one-dimensionality -- Chapter 12: RESTART before it is too late -- Chapter 13: A recap of the RESTART framework -- Chapter 14: A process model for sustainable business model innovation -- Chapter 15: Avenues for future research -- Chapter 16: Case study: A RESTART for Scanship -- Chapter 17: Case study: A circular business model for Orkla and BIR?…”

Tabla de Contenidos: “…Joseph: An Eighteenth-Century Mission-Garrison-Trading Post Complex on the Edge of Empire -- People in Objects: Individuality and the Quotidian in the Material Culture of War -- A Biography of a Stoneware Ginger Beer Bottle: The Biucchi Brothers and the Ticinese Community in Nineteenth-Century London -- Folk Housing in the Middle of the Pacific: Architectural Lime, Creolized Ideologies, and Expressions of Power in Nineteenth-Century Hawaii -- The Lens of Personal Objects -- Bodkin Biographies -- Material Manipulations: Beads and Cloth in the French Colonies -- Mission Santa Catalina’s Mondadiente de Plata (Silver Toothpick): Materiality and the Construction of Self in Spanish La Florida -- Single Shoes and Individual Lives: The Mill Creek Shoe Project -- Personal Impacts: Seeing Sites through the Individual -- Beyond Consumption: Social Relationships, Material Culture, and Identity -- Widow Pratt’s Possessions: Individuality and Georgianization in Newport, Rhode Island -- Consuming Individuality: Collective Identity Along the Color Line…”

Tabla de Contenidos: “…Introduction : non-linear historicizing as a method for studying health films -- The interwar obsession with family : eugenic pathos vs. humanistic skepticism -- Collective care vs. the "backward" family in Jak Vašíček přišel k nohám -- The institutionalized child as a precondition for the healthy nation in the films of Mladen Širola -- Central and Eastern European film in the search for deconstructing the institutionalized child -- The complex legacy of early animated health films in Eastern Europe -- Bacilínek (1922) on the stage of the national and global orders of health security -- Health films for children : between cultural reciprocity and popular scientism -- Health films as Bildungsroman for teaching men -- Masculinity in health films for the rural population -- Health films in the service of eugenic surveillance over women -- Sion ve světle as the first health film for the periphery : the birth of the canon -- Ikina sudbina and Dobro za zlo : extending the canon of health films to the Muslim periphery -- Films of the National Tuberculosis Association : rooting health films for the periphery in the racial hierarchies of the interwar United States…”

Tabla de Contenidos: “…Machine generated contents note: PART I Heuristic Search Primer Chapter 1 Introduction Chapter 2 Basic Search Algorithms Chapter 3 Dictionary Data Structures Chapter 4 Automatically Created Heuristics PART II Heuristic Search under Memory Constraints Chapter 5 Linear-Space Search Chapter 6 Memory Restricted Search Chapter 7 Symbolic Search Chapter 8 External Search PART III Heuristic Search under Time Constraints Chapter 9 Distributed Search Chapter 10 State Space Pruning Chapter 11 Real-Time Search by Sven Koenig PART IV Heuristic Search Variants Chapter 12 Adversary Search Chapter 13 Constraint Search Chapter 14 Selective Search PART V Heurstic Search Applications Chapter 15 Action Planning Chapter 16 Automated System Verification Chapter 17 Vehicle Navigation Chapter 18 Computational Biology Chapter 19 Robotics by Sven Koenig…”

Tabla de Contenidos: “…-- Bayes' rule -- Inferring a binomial proportion via exact mathematical analysis -- Inferring a binomial proportion via grid approximation -- Inferring a binomial proportion via the Metropolis algorithm -- Inferring two binomial proportions via Gibbs sampling -- Bernoulli likelihood with hierarchical prior -- Hierarchical modeling and model comparison -- Null hypothesis significance testing -- Bayesian approaches to testing a point ("null") hypothesis -- Goals, power, and sample size -- Overview of the generalized linear model -- Metric predicted variable on a single group -- Metric predicted variable with one metric predictor -- Metric predicted variable with multiple metric predictors -- Metric predicted variable with one nominal predictor -- Metric predicted variable with multiple nominal predictors -- Dichotomous predicted variable -- Ordinal predicted variable -- Contingency table analysis -- Tools in the trunk…”

Tabla de Contenidos: “…Core learning algorithms. 3. Linear regression and beyond -- 4. Using regression for call-center volume prediction -- 5. …”

Tabla de Contenidos: “…Introduction -- Simple linear causality : one thing makes another happen -- The cognitive science of simple causality : why do we get stuck? …”

Tabla de Contenidos: “…Getting graphic and seeing the data ; Preparing data is training for success ; How new statistics transform sports ; Political polls -- how weighted averaging wins ; When life is (almost) linear -- regression ; Training computers to think like humans -- disc 3. …”

Tabla de Contenidos: “…NUEVAS INDAGACIONES ACERCA DEL EJERCICIO DE LA OPERACIÓN DE NEGAR; 3. CONCLUSIÓN: EL PROBLEMA DEL AJUSTE DE LA OPERACIÓN DE NEGAR; LECCIÓN SEGUNDA; 1. …”
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“…La decena de piezas dramaticas que alcanzo a componer recieron comenzaron a generar un cierto impacto cultural con las vanguardias de comienzos del siglo XX y, en particular, con la admiracion de autores como Alfred Jarry y Bertolt Brecht…”

Tabla de Contenidos: “…Predicting stock prices with an ARIMA model -- Chapter 11: Supervised Machine Learning -- Introduction -- Fitting a linear regression model with lm -- Summarizing linear model fits -- Using linear regression to predict unknown values -- Measuring the performance of the regression model -- Performing a multiple regression analysis -- Selecting the best-fitted regression model with stepwise regression -- Applying the Gaussian model for generalized linear regression -- Performing a logistic regression analysis -- Building a classification model with recursive partitioning trees -- Visualizing a recursive partitioning tree -- Measuring model performance with a confusion matrix -- Measuring prediction performance using ROCR -- Chapter 12: Unsupervised Machine Learning -- Introduction -- Clustering data with hierarchical clustering -- Cutting tree into clusters -- Clustering data with the k-means method -- Clustering data with the density-based method -- Extracting silhouette information from clustering -- Comparing clustering methods -- Recognizing digits using the density-based clustering method -- Grouping similar text documents with k-means clustering methods -- Performing dimension reduction with Principal Component Analysis (PCA) -- Determining the number of principal components using a scree plot -- Determining the number of principal components using the Kaiser method -- Visualizing multivariate data using a biplot -- Index…”

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: “…Scherer, Gina Lavery, Roland Sullivan, Ginger Whitson and Elizabeth Vales -- Intervention and organizational change : building organizational change capacity / Kenneth W. …”

Tabla de Contenidos: “…Ensuring data completeness -- Slicing and dicing the data as needed -- Mixing RDBMS Products -- Chapter 6 Working with a NoSQL DMBS -- Considering the Ramifications of Hierarchical Data -- Understanding hierarchical organization -- Developing strategies for freeform data -- Performing an analysis -- Working around dangling data -- Accessing the Data -- Creating a picture of the data form -- Employing the correct transiting strategy -- Ordering the data -- Interacting with Data from NoSQL Databases -- Working with Dictionaries -- Developing Datasets from Hierarchical Data -- Processing Hierarchical Data into Other Forms -- Book 3 Manipulating Data Using Basic Algorithms -- Chapter 1 Working with Linear Regression -- Considering the History of Linear Regression -- Combining Variables -- Working through simple linear regression -- Advancing to multiple linear regression -- Considering which question to ask -- Reducing independent variable complexity -- Manipulating Categorical Variables -- Creating categorical variables -- Renaming levels -- Combining levels -- Using Linear Regression to Guess Numbers -- Defining the family of linear models -- Using more variables in a larger dataset -- Understanding variable transformations -- Doing variable transformations -- Creating interactions between variables -- Understanding limitations and problems -- Learning One Example at a Time -- Using Gradient Descent -- Implementing Stochastic Gradient Descent -- Considering the effects of regularization -- Chapter 2 Moving Forward with Logistic Regression -- Considering the History of Logistic Regression -- Differentiating between Linear and Logistic Regression -- Considering the model -- Defining the logistic function -- Understanding the problems that logistic regression solves -- Fitting the curve -- Considering a pass/fail example…”

Tabla de Contenidos: “…Bivariate versus Multivariate Connectivity Estimators -- 4.5.2. Linear versus Non-Linear Estimators of Connectivity -- 4.5.3. …”

Tabla de Contenidos: “…Linear representations and linear approximations of nonlinear models -- 7.3. …”

Tabla de Contenidos: “…Forecasting Numeric Data - Regression Methods -- Understanding regression -- Simple linear regression -- Ordinary least squares estimation -- Correlations -- Multiple linear regression -- Example - predicting medical expenses using linear regression -- Step 1 - collecting data -- Step 2 - exploring and preparing the data -- Exploring relationships among features - the correlation matrix -- Visualizing relationships among features - the scatterplot matrix -- Step 3 - training a model on the data -- Step 4 - evaluating model performance -- Step 5 - improving model performance -- Model specification - adding non-linear relationships -- Transformation - converting a numeric variable to a binary indicator -- Model specification - adding interaction effects -- Putting it all together - an improved regression model -- Understanding regression trees and model trees -- Adding regression to trees…”