“…Relying on a large econometric accident model based on monthly cross-section/time-series data for all provinces of Norway, we derive non-linear empirical functions describing the relationship between road use and accidents and discuss their implications in terms of accident costs and externalities. …”

“…Using the standard GTAP database and model, the paper considers a scenario of multilateral tariff liberalisation involving a 50% linear reduction in the ad-valorem equivalent measure of protection. …”

“…We show that when non-linearity is detected, the negative nonlinear effect kicks in at much lower levels of public debt (between 20% and 60% of GDP). …”

“…Prenant appui sur l'événement de la rencontre des deux Europes après 1989 et sur la prise de conscience que les différences produites par 50 ans de régimes opposés ne peuvent s'effacer, il examine les deux tendances inverses qui travaillent l'espace européen, celle du regroupement supranational et celle de la fragmentation, selon des processus de construction territoriale de durées inégales où la question des identités et de l'identité européenne se trouve posée. …”

“…Review machine learning concepts such as fitting a model to data Learn core concepts behind large scale algorithms like stochastic gradient descent Review the architectures used in Hadoop-based systems and data flow systems Explore resilient distributed dataset structures, vectors, and matrices using Spark Review Sparks’s machine libraries and how to run basic machine learning tasks Understand the use of approximation in optimization and compressing feature spaces Learn what makes data “complex” Mikio Braun is a data scientist researcher, a start-up entrepreneur, and the on-going creator of jblas, the open source library for fast linear algebra in Java. He has a Ph.D. in Computer Science, and works at Zalando…”

“…In Animated Storytelling, you’ll learn how to: Write a creative brief for your project Find and communicate your story’s big idea Create a tight story using linear and nonlinear story structures Use color to clarify and enrich your story Define the rules for your animated world, and commit to them Ease into the challenging task of animation Make the work you want to be hired to do Share your work with the world!…”

“…What You Will Learn Write and document R functions Make an R package and share it via GitHub or privately Add tests to R code to insure it works as intended Build packages automatically with GitHub Use R to talk directly to databases and do complex data management Run R in the Amazon cloud Generate presentation-ready tables and reports using R Who This Book Is For Working professionals, researchers, or students who are familiar with R and basic statistical techniques such as linear regression and who want to learn how to take their R coding and programming to the next level…”

“…Machine Learning with PySpark shows you how to build supervised machine learning models such as linear regression, logistic regression, decision trees, and random forest. …”

“…The author — a noted expert in the field — covers a wealth of topics including: simple regression, basic matrix algebra, the general linear model, distribution theory, the normal distribution, properties of least squares, unbiasedness and efficiency, eigenvalues, statistical inference in regression, t and F tests, the partitioned regression, specification analysis, random regressor theory, introduction to asymptotics and maximum likelihood. …”

“…The circular economy is recognised as a new economic paradigm as opposed to the traditional linear open-ended economy model based on endless exploitation of resources and prioritising profit over sustainability. …”

“…Outlining the implications that systems thinking can hold for future research, practice and progress towards Sustainable Development Goal 4, a diverse range of leading scholars, policymakers and practitioners present novel research to encourage the shift from a linear view of change to a systems view. Chapters present diverse approaches to applying systems thinking in education across middle- and low-income countries, alongside research on how this has changed mindsets more widely. …”

“…The authors present a unified and comprehensive overview of probability and Markov Chains aimed at educating engineers working with probability and statistics as well as advanced undergraduate students in sciences and engineering with a basic background in mathematical analysis and linear algebra"--…”

“…This edition features many step-by-step workflows, powerful new keying techniques and updates on the latest tech in the visual effects industry.Workflow examples for:Grain ManagementLens Distortion ManagementMerging CGI Render PassesBlending Multiple KeysPhotorealistic Color CorrectionRotoscopingProduction Techniques for:Keying Difficult GreenscreensReplicating Optical Lens EffectsAdvanced Spill SuppressionFixing Discoloured EdgesAdding Interactive LightingManaging Motion BlurWith brand new information on:Working in LinearACES Color ManagementLight Field CinematographyPlanar TrackingCreating Color Difference KeysPremultiply vs. …”

“…L’autore affronta temi complessi con stile lineare e comprensibile anche ai digiuni di diritto, ma conservando un necessario rigore scientifico, fornendo gli elementi per una teoria generale per la creazione e la promozione di beni intellettuali comuni, o commons. …”

“…Seeds of Mobilization takes a closer look at the history of South Korea to show that Korea's advance to democracy was not linear. Instead, while Korea's national economy grew dramatically under the regimes of Park Chung Hee (1961-79) and Chun Doo Hwan (1980-88), the political system first became increasingly authoritarian. …”

“…A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. …”

“…For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following: Double-log demand systems Linear expenditure systems Almost ideal demand systems Rotterdam models Random parameters logit demand models Frequency-severity models Compound distribution models Cobb-Douglas production functions Translogarithmic cost functions Generalized Leontief cost functions Density estimation techniques Copula models SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others: PROC MODEL PROC COPULA PROC SEVERITY PROC KDE PROC LOGISTIC PROC HPCDM PROC IML PROC REG PROC COUNTREG PROC QLIM An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. …”

“…In the following chapters you’ll study regression and classification problems, mathematics behind them, algorithms like Linear Regression, Logistic Regression, Decision Tree, KNN, Naïve Bayes, and advanced algorithms like Random Forest, SVM, Gradient Boosting and Neural Networks. …”

“…This volume concludes with discussions and demonstrations of more advanced techniques, showing how multiple regression combines with the General Linear Model to produce the analysis of covariance, and how Excel's mixed referencing makes it easy to visualize what's going on as new vectors enter an analysis. …”

“…In this course, you'll learn to do the following: Develop and explore machine learning, data science, and Jupyter Notebooks in Docker Run machine learning models in production with Kubernetes and Docker Swarm Package your Python code into containers Publish your containers in image registries Deploy containers to production, both in Docker and Kubernetes Build highly modular, container-based services in a microservices way Monitor and maintain containerized apps You can use the course in two ways: If you use Python for machine learning and data science, go top-down - start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics If you want to use Python for building web apps and microservices, try the bottom-up approach - use the course in a linear way…”