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  • Stochastic Calculus

Results for "stochastic calculus"


  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Dynamical Modeling Methods for Systems Biology

    Skills you'll gain: Matlab, Mathematical Modeling, Differential Equations, Computational Logic, Applied Mathematics, Simulations, Statistical Modeling, Biochemistry, Biology, Probability, Cell Biology, Physiology, Electrical Systems

    4.7
    Rating, 4.7 out of 5 stars
    ·
    222 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    157 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Introduzione alla fisica sperimentale: meccanica, termodinamica

    Skills you'll gain: Mechanics, Physics, Hydraulics, Thermal Management, Torque (Physics), Engineering Analysis, Experimentation, Engineering Calculations, Calculus, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Motion Planning for Self-Driving Cars

    Skills you'll gain: Algorithms, Deep Learning, Computer Vision, Mathematical Modeling, Predictive Modeling, Data Structures, Spatial Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    486 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Algorithms, Computer Engineering, Programming Principles, Digital Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    电磁学下——恒磁场与时变电磁场

    Skills you'll gain: Electrical Engineering, Physics, Advanced Mathematics, Mechanics, Engineering Analysis, Materials science, Calculus, Differential Equations, Mathematical Modeling, Experimentation

    5
    Rating, 5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    279 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Dense Gases, Liquids and Solids

    Skills you'll gain: Mechanical Engineering, Thermal Management, Chemical Engineering, Materials science, Simulations, Engineering Analysis, Engineering Calculations, Physics, Estimation, Mathematical Modeling, Calculus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    188 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular stochastic calculus courses

  • Dynamical Modeling Methods for Systems Biology: Icahn School of Medicine at Mount Sinai
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Introduzione alla fisica sperimentale: meccanica, termodinamica: Politecnico di Milano
  • Motion Planning for Self-Driving Cars: University of Toronto
  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign
  • 电磁学下——恒磁场与时变电磁场: Peking University
  • Deep Learning and Reinforcement Learning: IBM
  • Dense Gases, Liquids and Solids: University of Colorado Boulder
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM

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