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"

  • Status: Free Trial

    Packt

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Effectiveness, Forecasting, Marketing Strategies, Strategic Decision-Making, Strategic Leadership, Time Series Analysis and Forecasting, Statistical Modeling, Simulation and Simulation Software, Predictive Analytics, Customer Analysis, Customer Engagement, Customer Retention, Reinforcement Learning, Probability Distribution

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Agentic systems, Machine Learning, Natural Language Processing, Business Strategy, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • Status: Preview

    Northeastern University

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

    Intermediate · Course · 1 - 4 Weeks

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