“…Toutes sont par principe disponibles pour tous les acteurs sociaux, qui peuvent se les approprier, les transformer, les confronter entre elles et en inventer de nouvelles, mais avec des chances inégales d'y parvenir. Par leur résistance aux segmentations sociales a priori, par leur capacité à établir des rapports entre des phénomènes d'une grande diversité, les formes de vie nous mettent en somme à « bonne distance », la distance qui convient à la fois à la compréhension et à l'évaluation critique de la signification de nos pratiques sociales, quotidiennes, politiques et médiatiques, et des discours qui les diffusent. …”

“…The traditional approach to Health & Safety is considered to be Newtonian -- It uses linear models and deterministic analysis. Quantum Safety, due to the full consideration of Complexity Science, introduces multidimensional models and develops analysis based on probabilities. …”

“…Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. …”

“…What You Will Learn Master relevant algorithms used in symbolic or numerical mathematics to address approximation, interpolation, differentiation, integration, root-finding, and optimization of scalar or multi-variate functions Develop different algorithms and strategies to efficiently store and manipulate large matrices of data, in particular to solve systems of linear equations, or compute their eigenvalues/eigenvectors Understand how to model physical problems with systems of differential equations and distinguish the factors that dictate the strategies to solve them Perform statistical analysis, hypothesis test design and resolution, or data mining at a higher level, and apply them to real-life problems in the field of data analysis Gain insights on the power of distances, Delaunay triangulations and Voronoi diagrams for Computational Geometry, and apply them to various engineering problems Familiarize yourself with different techniques in signal/image processing, including filtering audio, images, or video to extract information, features, or remove components In Detail The SciPy stack is a collection of open source libraries of the powerful scripting language Python, together with its interactive shells. …”

“…Discover when and how to use smoothing instead of regression Test your data for trends and seasonality Compare sets of observations with the autocorrelation function Analyze trended time series with Excel’s Solver and Analysis ToolPak Use Holt's linear exponential smoothing to forecast the next level and trend, and extend forecasts further into the future Initialize your forecasts with a solid baseline Improve your initial forecasts with backcasting and optimization Fully reflect simple or complex seasonal patterns in your forecasts Account for sudden, unexpected changes in trends, from fads to new viral infections Use range names to control complex forecasting models more easily Compare additive and multiplicative models, and use the right model for each task…”

“…Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Get to grips with the basics of Predictive Analytics with Python Learn how to use the popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and Clustering Who This Book Is For If you wish to learn how to implement Predictive Analytics algorithms using Python libraries, then this is the book for you. …”

“…Break scenes into passes and layers, and convincingly composite 3D models into real-world environments. Adopt a linear workflow for more convincing lighting, global illumination, and compositing. …”

“…Coverage includes Game time management, speed control, and ensuring consistency on diverse hardware Essential 2D graphics techniques for modern mobile gaming Vectors, matrices, and linear algebra for 3D games 3D graphics including coordinate spaces, lighting and shading, z-buffering, and quaternions Handling today’s wide array of digital and analog inputs Sound systems including sound events, 3D audio, and digital signal processing Fundamentals of game physics, including collision detection and numeric integration Cameras: first-person, follow, spline, and more Artificial intelligence: pathfinding, state-based behaviors, and strategy/planning User interfaces including menu systems and heads-up displays Scripting and text-based data files: when, how, and where to use them Basics of networked games including protocols and network topology…”

“…These exercises move along in a somewhat linear fashion, starting with verification of access to necessary services, moving on to the configuration of those services, and finally testing the results of those services on client devices. …”

“…To Merge or Not to Merge Build Your Own Mayo ClinicFrom Giants to Standards of CareAlgorithmsPeopleProcessesStatus and ProfessionalismWe the PractitionersThe Journey so FarThe Decision EnginesUniformity vs. LinearitySo Where Do We Start?AssessmentLearn by DoingDeja Vu, RevisitedSpecialty CompetenceSpecialty IntegrationLabor Leverage FactorValue-Management IndexReferral to NowhereThe New MindersMelancon's Undiscovered General PractitionerThe Lineage of the GiantsExit the FindersExit the MindersSo Now What?…”

“…You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook…”

“…A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite…”

“…La réussite scolaire est très inégale et les jeux de distinction face à l’offre éducative sont multiples. …”

“…The introduction of the kernel function into SVMs made it extremely attractive, since it opens a new door for chemists/biologists to use SVMs to solve difficult nonlinear problems in chemistry and biotechnology through the simple linear transformation technique. The distinctive features and excellent empirical performances of SVMs have drawn the eyes of chemists and biologists so much that a number of papers, mainly concerned with the applications of SVMs, have been published in chemistry and biotechnology in recent years. …”

“…Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. …”

“…Knowledge of basic machine learning concepts, linear algebra and Python will help…”

“…Further, it covers the discriminative algorithms such as linear, logistic regression with regularization, kernelization, s..…”

“…IBM Spectrum Archive EE supports the IBM Linear Tape-Open (LTO) Ultrium 8, 7, 6, and 5 tape drives in IBM TS3310, TS3500, TS4300, and TS4500 tape libraries. …”

“…Some background in statistics, probability, calculus, linear algebra, and programming will help you thoroughly understand and follow the concepts covered in this book…”

“…This ground-breaking book offers new perspectives on age-old management challenges and illuminates better ways to organize and manage in an increasingly turbulent, DANCE-world (Dynamic. Ambiguous. Non-Linear. Complex. Emergent). It puts the management DNA under the microscope and shows how to develop the DNA elements to build and transform organizational project management and PMO capabilities essential for effective strategy-execution. …”