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    Results for "markov-modell"

    • U

      University of Colorado Boulder

      Control Systems Analysis: Modeling of Dynamic Systems

      Skills you'll gain: Control Systems, Process Control, Mathematical Modeling, Engineering Analysis, Differential Equations, Systems Analysis, Electrical Systems, Mechanics, Systems Thinking, Applied Mathematics, Performance Testing, Basic Electrical Systems

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Introducción a la inteligencia artificial

      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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      613 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Regression Models

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Correlation Analysis, Data Analysis, Statistical Methods, Predictive Modeling, Probability & Statistics, Statistical Inference

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: NumPy, Data Mining, Classification And Regression Tree (CART), Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Bayesian Computational Statistics

      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

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing with Real-World Projects

      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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

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

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      E

      Erasmus University Rotterdam

      Multilevel Modeling

      Skills you'll gain: R Programming, Statistical Modeling, Regression Analysis, Correlation Analysis, Statistical Analysis, R (Software), Data Modeling

      3.8
      Rating, 3.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73 reviews

      Mixed · Course · 1 - 3 Months

    1…456…12

    In summary, here are 10 of our most popular markov-modell courses

    • Control Systems Analysis: Modeling of Dynamic Systems: University of Colorado Boulder
    • Introducción a la inteligencia artificial: Universidad Nacional Autónoma de México
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Regression Models: Johns Hopkins University
    • Natural Language Processing - Probability Models in Python: Packt
    • Bayesian Computational Statistics: Illinois Tech
    • Introduction to Uncertainty Quantification: Johns Hopkins University
    • Natural Language Processing with Real-World Projects: Packt
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Introduction to Computational Statistics for Data Scientists: Databricks

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