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.
14credentials
32courses

Most popular

Trending now

New releases

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Results for "markov model"

  • 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: Preview

    Skills you'll gain: Reinforcement Learning, Game Theory, Artificial Intelligence and Machine Learning (AI/ML), Operations Research, Machine Learning, Markov Model, Deep Learning, Algorithms, Decision Support Systems, Simulations, Mathematical Modeling, Probability, Statistical Methods

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Bayesian Statistics, Network Architecture, Linear Algebra, Markov Model

  • 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: 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

    Universidad Nacional Autónoma de México

    Skills you'll gain: Bayesian Network, Computational Logic, Program Development, Artificial Intelligence, Markov Model, Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Python Programming, Applied Machine Learning, Responsible AI, Deductive Reasoning, Artificial Intelligence and Machine Learning (AI/ML), Social Sciences, Machine Learning, Bioinformatics

  • Status: Free Trial

    Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Python Programming, Data Science, Text Mining, Data Processing, Supervised Learning, Applied Machine Learning, Unstructured Data, Markov Model

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

  • Status: Free Trial

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

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

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