“…By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. …”

“…By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. …”

“…Russia in Flames will join the ranks of works by Orlando Figes, Simon Sebag Montefiore, Timothy Snyder, and Richard Pipes: a major, defining, exhaustive, and exhilarating account of war and revolution as they were unfolding, and as one of history's greatest empires was dissolving and reforming itself before the eyes of the world"--Provided by publisher…”

“…As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them. …”

“…Honoured to be the first black Editor-in-Chief of the University of Pretoria's Law Review, an annual publication which is the pride of the best law faculty in Africa (according to the Times Higher Education World University Rankings), I proudly present to you the 2019 edition of the Pretoria Student Law Review (PSLR). …”

“…He not only acted as an influential scientist of systematic botany, as a politician and states-man but also as a high-ranking freemason in several rites, especially in the Rit écossais philosophique.This masonic system can be seen as a ›scientific‹ one built upon the traditions of alchemistical and hermetical circles of the Ancient Regime. …”

“…I have read many computer books and this definitely ranks in the top two, in my opinion. The examples are excellent. …”

“…., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and more…”

“…Procuramos abordar neste livro - dialogando especialmente com os iniciantes - os problemas clássicos do Brasil - agora potencializados e escancarados pela pandemia e pelo ultraneoliberalismo - que impedem a universalização da educação pública, gratuita e de qualidade, ou em outro sentido, procuramos identificar os fatores que permitiram ao Brasil um grande destaque nos rankings de mercantilização da educação e de barbárie educacional. …”

“…Y Google Scholar Metrics nacido como ranking de publicaciones científicas que permite a partir de los datos de citaciones de Google Scholar y por medio de índice h identificar las más influyentes revistas, congresos y repositorios. …”

“…Desde que en 1996 Larry Page y Sergei Brin desarrollaron uno de los algoritmos más famosos y mejor guardados del mundo, el Page Rank(TM), Google ha consolidado su carácter de gran empresa hasta convertirse en el principal aspirante al monopolio de la información en la era digital. …”

“…While his disciples Otto Rank and Hanns Sachs carried out his 1907 insights regarding the poetics of daydreaming to illuminate, respectively, the mythic origin of the hero and the evolution of art out of the mutual daydream, Freud battened down for the end of his world by revisiting the so-called primal fantasy, the myth of the primal father, in Moses and Monotheism. …”

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“…Finalment, demostrem que les classificacions (rankings) de productes obtinguts amb la nostra implementació i els de Dpreview són molt semblants, mentre que la classificació donada per Amazon no s'assembla a cap de les altres dues…”
Accés lliure

“…The Limitations of Common Approaches to Risk AssessmentThinking about Risk Using Causal AnalysisApplying the Causal Framework to ArmageddonSummaryFurther ReadingMeasuring Uncertainty: The Inevitability of SubjectivityIntroductionExperiments, Outcomes, and EventsFrequentist versus Subjective View of UncertaintySummaryFurther ReadingThe Basics of ProbabilityIntroductionSome Observations Leading to Axioms and Theorems of ProbabilityProbability DistributionsIndependent Events and Conditional ProbabilityBinomial DistributionUsing Simple Probability Theory to Solve Earlier Problems and ExplainWidespread MisunderstandingsSummaryFurther ReadingBayes' Theorem and Conditional ProbabilityIntroductionAll Probabilities Are ConditionalBayes' Theorem Using Bayes' Theorem to Debunk Some Probability FallaciesSecond-Order ProbabilitySummaryFurther ReadingFrom Bayes' Theorem to Bayesian NetworksIntroductionA Very Simple Risk Assessment ProblemAccounting for Multiple Causes (and Effects)Using Propagation to Make Special Types of Reasoning PossibleThe Crucial Independence AssumptionsStructural Properties of BNsPropagation in Bayesian NetworksUsing BNs to Explain Apparent ParadoxesSteps in Building and Running a BN ModelSummaryFurther ReadingTheoretical UnderpinningsBN ApplicationsNature and Theory of CausalityUncertain Evidence (Soft and Virtual)Defining the Structure of Bayesian NetworksIntroductionCausal Inference and Choosing the Correct Edge DirectionThe IdiomsThe Problems of Asymmetry and How to Tackle ThemMultiobject Bayesian Network ModelsThe Missing Variable FallacyConclusionsFurther ReadingBuilding and Eliciting Node Probability TablesIntroductionFactorial Growth in the Size of Probability TablesLabeled Nodes and Comparative ExpressionsBoolean Nodes and FunctionsRanked NodesElicitationSummaryFurther ReadingNumeric Variables and Continuous Distribution FunctionsIntroductionSome Theory on Functions and Continuous DistributionsStatic DiscretizationDynamic DiscretizationUsing Dynamic DiscretizationAvoiding Common Problems When Using Numeric NodesSummaryFurther ReadingHypothesis Testing and Confidence IntervalsIntroductionHypothesis TestingConfidence IntervalsSummaryFurther ReadingModeling Operational RiskIntroductionThe Swiss Cheese Model for Rare Catastrophic EventsBow Ties and HazardsFault Tree Analysis (FTA)Event Tree Analysis (ETA)Soft Systems, Causal Models, and Risk ArgumentsKUUUB FactorsOperational Risk in FinanceSummaryFurther ReadingSystems Reliability ModelingIntroductionProbability of Failure on Demand for Discrete Use SystemsTime to Failure for Continuous Use SystemsSystem Failure Diagnosis and Dynamic Bayesian NetworksDynamic Fault Trees (DFTs)Software Defect PredictionSummaryFurther ReadingBayes and the LawIntroductionThe Case for Bayesian Reasoning about Legal EvidenceBuilding Legal Arguments Using IdiomsThe Evidence IdiomThe Evidence Accuracy IdiomIdioms to Deal with the Key Notions of "Motive" and "Opportunity"Idiom for Modeling Dependency between Different Pieces of EvidenceAlibi Evidence IdiomPutting it All Together: Vole ExampleUsing BNs to Expose Further Fallacies of Legal ReasoningSummaryFurther ReadingAppendix A: The Basics of CountingAppendix B: The Algebra of Node Probability TablesAppendix C: Junction Tree AlgorithmAppendix D: Dynamic DiscretizationAppendix E: Statistical Distributions…”

“…Professor Bennett, an economist, has given us a book that should have emerged long ago from the ranks of political scientists... [A]n interesting and very well-written study full of insights into the election process." …”

“…Assuming that each voter casts a ballot in a form of a ranking of candidates, we represent a mistake by a swap of adjacent candidates in a ballot. …”

“…The sections - besides giving information on the Alps - also cherished the social life among their members, especially during the annual general meetings, which were organized alternately by various sections and which were to rank among the highlights of urban social life. The exploration and visits of the Alps were often related with a kind of colonial though well intended attempts to influence the alpine population, since the Alpenverein also considered itself a "provider of culture". …”

“…El caso de EEUU 8. RANKINGS Y CLASIFICACIONES DE LAS UNIVERSIDADES 8.1. …”