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  • Implement Monte Carlo Integration Methods

Results for "implement monte-carlo integration methods"


  • Status: Free Trial
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    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Università di Napoli Federico II

    Derivatives

    Skills you'll gain: Derivatives, Financial Market, Securities (Finance), Financial Trading, Finance, Actuarial Science, Investments, Futures Exchange, Equities, Risk Modeling, Financial Modeling, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Probability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Implementation of PhET Activities for STEM Education

    Skills you'll gain: Teaching, Mathematics Education, Simulations, User Feedback, Experimentation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Visualization Software, Statistical Analysis, Command-Line Interface, Linux

    Intermediate · Course · 1 - 4 Weeks

  • 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, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming

    4
    Rating, 4 out of 5 stars
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    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    C

    Coursera

    GenAI for Risk Managers: Advanced Risk Analysis Techniques

    Skills you'll gain: Prompt Engineering, Risk Modeling, Risk Analysis, Continuous Monitoring, Data Synthesis, Generative AI, Project Risk Management, Risk Management, Operational Risk, Data-Driven Decision-Making, Business Risk Management, Data Integration, Decision Support Systems, AI Security, Anomaly Detection, Threat Detection, Automation

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    205 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Data Modeling, R Programming, Statistical Methods, Public Health

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular implement monte-carlo integration methods courses

  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Derivatives: Università di Napoli Federico II
  • Implementation of PhET Activities for STEM Education: University of Colorado Boulder
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Sample-based Learning Methods: University of Alberta
  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • GenAI for Risk Managers: Advanced Risk Analysis Techniques: Coursera

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