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  • Implement Monte Carlo Integration Methods

Results for "implement monte-carlo integration methods"


  • Status: Free Trial
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    D

    Duke University

    Introduction to Probability and Data with R

    Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Illinois Tech

    Bayesian Computational Statistics

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

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    H

    Harvard Business Review

    Set and Implement Goals

    Skills you'll gain: Performance Measurement, Team Performance Management, Performance Metric, Performance Management, Goal Setting, Smart Goals, Employee Performance Management, Key Performance Indicators (KPIs), Performance Analysis, Performance Reporting, Performance Improvement, Organizational Effectiveness, Productivity, Business Priorities, Organizational Strategy, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    C

    Columbia University

    Optimization Methods in Asset Management

    Skills you'll gain: Portfolio Management, Investment Management, Asset Management, Estimation, Market Liquidity, Risk Management, Financial Market, Financial Modeling, Equities, Securities Trading, Market Dynamics, Financial Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    U

    University of Minnesota

    Modeling, IC Processes and Emerging Microtechnology

    Skills you'll gain: Finite Element Methods, Semiconductors, Electronic Systems, Computer Architecture, Manufacturing Processes, Process Engineering, Emerging Technologies, Simulation and Simulation Software, Mathematical Modeling, Electronic Components, Micrometer, Artificial Intelligence, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    846 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Correlation Analysis, Engineering Analysis, Digital Signal Processing, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    ChatGPT: Build, Integrate & Deploy AI Apps

    Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI API, No-Code Development, Microsoft Power Automate/Flow, Serverless Computing, LLM Application, Cloud Deployment, Microsoft Power Platform, Microsoft Azure, Generative AI, Project Design, Large Language Modeling, Application Development, Microsoft Teams, Development Environment

    Mixed · Course · 1 - 4 Weeks

1…456…519

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

  • Introduction to Probability and Data with R: Duke University
  • Bayesian Computational Statistics: Illinois Tech
  • An Intuitive Introduction to Probability: University of Zurich
  • Matrix Methods: University of Minnesota
  • Set and Implement Goals: Harvard Business Review
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Optimization Methods in Asset Management: Columbia University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Modeling, IC Processes and Emerging Microtechnology: University of Minnesota
  • Prediction and Control with Function Approximation: University of Alberta

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