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Stanford University
Probabilistic Graphical Models
Habilidades que você terá: Bayesian, Bayesian Network, Bayesian Statistics, Behavioral Economics, Business Psychology, Computer Architecture, Computer Programming, Data Analysis, Decision Making, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, General Statistics, Graph Theory, Leadership and Management, Machine Learning, Markov Model, Mathematics, Modeling, Other Programming Languages, Probability & Statistics, Probability Distribution
4.6
(1.5k avaliações)
Advanced · Specialization · 3-6 Months
Stanford University
Probabilistic Graphical Models 1: Representation
Habilidades que você terá: Decision Making, Data Analysis, Entrepreneurship, Mathematics, Behavioral Economics, Probability Distribution, Markov Model, Modeling, Bayesian Network, Probability, General Statistics, Bayesian Statistics, Graph Theory, Leadership and Management, Business Psychology, Bayesian, Other Programming Languages, Machine Learning, Feature Engineering, Computer Programming, Probability & Statistics
4.6
(1.4k avaliações)
Advanced · Course · 1-3 Months

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Em resumo, aqui estão 10 dos nossos cursos mais populares graph

Graph Search, Shortest Paths, and Data Structures: Stanford University
Trees and Graphs: Basics: University of Colorado Boulder
Introduction to Graph Theory: University of California San Diego
Graph Analytics for Big Data: University of California San Diego
Algorithms on Graphs: University of California San Diego
Build Customizable Sales Presentation Graphics using Canva: Coursera Project Network
Play with Graphs using Wolfram Mathematica: Coursera Project Network
Graphic Design: California Institute of the Arts
Probabilistic Graphical Models: Stanford University
Fundamentals of Graphic Design: California Institute of the Arts

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