Bayesian Network

A Bayesian Network is a graphical model that represents the probabilistic relationships among a set of variables. Coursera's Bayesian Network catalogue teaches you the principles and applications of Bayesian Networks, a crucial component of Artificial Intelligence and Machine Learning. You'll learn about the foundation of probabilistic reasoning, inference and learning algorithms, and how to handle uncertainty in complex systems. You'll also gain experience in constructing probabilistic models, making predictions, and improving decision making under uncertainty. Mastering Bayesian Network prepares you for roles in data analysis, machine learning, AI development, and other fields requiring deep knowledge of statistics and probability.

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Results for "Bayesian Network"

  • Arizona State University

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Stanford Online

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6 stars, 1.4K reviews, Advanced, Course, 1 - 3 Months

  • Coursera

    Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Dartmouth College

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Stanford Online

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization, Sampling (Statistics)

    4.6 stars, 1.6K reviews, Advanced, Specialization, 3 - 6 Months

  • IIT Guwahati

    Skills you'll gain: Relational Databases, Package and Software Management, Generative AI, Data Visualization, Time Series Analysis and Forecasting, Linear Algebra, C (Programming Language), Java Programming, Cloud Computing, Data Structures, R (Software), Data Warehousing, Database Management, Social Network Analysis, Econometrics, File I/O, Probability, Bayesian Network, English Language, Algorithms

    Degree · 1 - 4 Years

  • Universidad de los Andes

    Skills you'll gain: Software Architecture, Business Architecture, Design Thinking, Process Analysis, Cloud Services, Bayesian Network, Computer Security Incident Management, Product Lifecycle Management, User Story, Data Storytelling, Corporate Communications, Kotlin, Information Technology Infrastructure Library, Engineering Management, Security Requirements Analysis, Systems Thinking, Project Management, Environmental Management Systems, Artificial Intelligence, Feasibility Studies

    Degree · 1 - 4 Years

  • Johns Hopkins University

    Skills you'll gain: Network Analysis, Statistical Modeling, Applied Machine Learning, Bayesian Network, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • University of Colorado System

    Skills you'll gain: Bayesian Network, Linear Algebra, Numerical Analysis, Mathematical Modeling, Estimation, Matlab, Statistical Modeling, Markov Model, Advanced Mathematics, Simulations, Integral Calculus, Correlation Analysis, Control Systems, Probability, Simulation and Simulation Software, Probability & Statistics, Applied Mathematics, Statistical Methods, Probability Distribution, Engineering Analysis

    4.9 stars, 39 reviews, Intermediate, Specialization, 3 - 6 Months

  • Dartmouth College

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Model, Network Architecture, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations

    Intermediate · Specialization · 3 - 6 Months

  • Stanford Online

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Statistical Modeling, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms

    4.6 stars, 305 reviews, Advanced, Course, 1 - 3 Months