We may earn an affiliate commission when you visit our partners.
Janani Ravi and Brandon Strain

This skill will explore advanced mathematical and statistical models and their implementation in the R language.These modeling approaches are relevant to machine learning and in categorizing algorithms.

What You'll Learn

Read more

This skill will explore advanced mathematical and statistical models and their implementation in the R language.These modeling approaches are relevant to machine learning and in categorizing algorithms.

What You'll Learn

  • Implementation of Numerical Methods with R
  • Understanding Linear Algebra implementation with R
  • Applying Mathematical mass balance Models( Integration, steady state, least square)
  • Applying Differential equations problems
  • Build Linear inverse models with R
  • Enroll now

    Share

    Help others find this collection page by sharing it with your friends and followers:

    What's inside

    Three courses

    Understanding Statistical Models and Mathematical Models

    (2 hours)
    This course covers important techniques from mathematical and statistical modeling, including the use of ordinary differential equations to model deterministic systems, classic local search and simulated annealing to explore large search spaces.

    Applying Differential Equations and Inverse Models with R

    (2 hours)
    This course focuses on conceptually understanding and implementing numerical techniques to solve differential equations, including ordinary/partial/delay differential equations, and systems of equations known as Differential Algebraic Equations.

    Performing Dimension Analysis with R

    (2 hours)
    This course covers virtually all of the important techniques of dimensionality reduction available in R, allowing model builders to optimize model performance by reducing overfitting and saving on model training time and cost.

    Save this collection

    Save Building Statistical and Mathematical Models with R to your list so you can find it easily later:
    Save
    Our mission

    OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

    Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

    Find this site helpful? Tell a friend about us.

    Affiliate disclosure

    We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

    Your purchases help us maintain our catalog and keep our servers humming without ads.

    Thank you for supporting OpenCourser.

    © 2016 - 2024 OpenCourser