Markov Model

A Markov Model is a statistical model used to predict future states based on current conditions in various domains like physics, chemistry, statistics, and economics. Coursera's Markov Model catalogue teaches you how to apply this model to predict the probability of events over time. You'll learn how to design, implement, and analyze Markov Models, understand their potential applications in various fields like finance, weather forecasting, algorithmic trading, and speech recognition. You'll also gain a deeper understanding of Markov Chains, Markov Decision Processes, and Hidden Markov Models, developing your skills in statistical modelling, predictive analytics, and data analysis.
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Results for "markov model"

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

  • Status: Free Trial

    University of Pennsylvania

    Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Markov Model, Probability, Predictive Analytics, Process Optimization, Risk Management, Statistics, Probability Distribution, Simulation and Simulation Software, Forecasting

  • Status: New
    Status: Preview

    Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Machine Learning, Markov Model, Probability Distribution, Sampling (Statistics)

  • Status: Free Trial

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

  • Status: Free Trial

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

  • Status: Free Trial

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

What brings you to Coursera today?

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Markov Model, Biological Engineering, Molecular Biology, Biotechnology, Bioinformatics, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Electrical Engineering, Engineering Design Process, Computational Thinking, Simulations, Biochemistry, Computational Logic, Differential Equations, Cell Biology, Technical Design, Failure Analysis, Hazard Analysis, Numerical Analysis

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Data Science, Predictive Analytics, Strategic Decision-Making, Anomaly Detection, Probability Distribution, Cybersecurity, Statistical Analysis, Machine Learning Methods

  • Status: Preview

    Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability

  • Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Probability, Algorithms, Graph Theory, Probability Distribution

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

What brings you to Coursera today?

Leading partners

  • Johns Hopkins University
  • Stanford University
  • University of California, Santa Cruz
  • Alberta Machine Intelligence Institute
  • University of Alberta
  • University of Colorado Boulder
  • DeepLearning.AI
  • New York University