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.
13credentials
33courses

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: Free Trial

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Statistical Visualization, Mathematical Software, Statistical Inference

  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Bayesian Statistics, Technical Communication, Data Presentation, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Markov Model, Engineering Analysis, Mathematical Modeling, Computational Thinking, Failure Analysis, Biological Engineering, Hazard Analysis, Chemical Engineering, Simulation and Simulation Software, Applied Mathematics, Verification And Validation, Differential Equations

  • Status: New
    Status: Preview

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

  • Status: Free Trial

    New York Institute of Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Bayesian Statistics, Data Science, Predictive Analytics, Anomaly Detection, Probability Distribution, Machine Learning Methods, Statistical Analysis, A/B Testing, Sampling (Statistics)

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Data Manipulation, Unstructured Data, Markov Model, Python Programming, Machine Learning Methods, Algorithms, Probability & Statistics

  • Status: Free Trial

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning