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Building Statistical and Mathematical Models with R

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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
  • OpenCourser is an affiliate partner of Pluralsight and may earn a commission when you buy through our links.

    From Pluralsight
    Hours 22
    Instructors Janani Ravi, Brandon Strain, Chase DeHan
    Language English
    Subjects IT & Networking

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    Understanding Statistical Models and Mathematical Models

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    Solving Problems with Numerical Methods

    The growth in computing power means that problems that were hard to solve earlier can now be tackled using numerical techniques. These are algorithms that seek to find numerical...

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    Applying the Mathematical MASS Model with R

    Before machine learning and Python made statistics a subject of MASS popular appeal, an entire generation of applied statisticians learned their craft from the famous textbook...

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    Applying Differential Equations and Inverse Models with R

    Differential equations are a topic rich in history - several important results date back to the 18th and 19th centuries - but their importance is not confined to the history...

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    Performing Dimension Analysis with R

    Dimensionality Reduction is a powerful and versatile unsupervised machine learning technique that can be used to improve the performance of virtually every ML model. Using...

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    Applying Linear Algebra with R

    Would you like to better understand the basics of linear algebra so that you can better understand the techniques used in regression and machine learning? In this course, Applying...

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    Building Statistical Summaries with R (You were viewing this course)

    The tools of machine learning - algorithms, solution techniques, and even neural network architectures, are becoming commoditized. Everyone is using the same tools these days, so...

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    Implementing Bootstrap Methods in R

    Perhaps the most common type of problem in statistics involves estimating some property of the population, and also quantifying how confident you can be in our estimates of that...

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    Implementing Monte Carlo Method in R

    Repeated sampling using the Monte Carlo method can be a much more efficient approach in solving difficult problems vs. standard mathematical or statistical practices. In this...

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    Pluralsight

    From Pluralsight
    Hours 22
    Instructors Janani Ravi, Brandon Strain, Chase DeHan
    Language English
    Subjects IT & Networking

    Careers

    An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).

    Advanced Teller $45k

    Customized Itinerary Specialist - Explore America $54k

    Assistant Professor, Advanced Taxation and Advanced Financial Accounting $65k

    Advanced Applications $72k

    Advanced Practice Coordinator $76k

    Advanced Engineer 4 $78k

    Advanced Regulatory Analyst $89k

    advanced practitioner $90k

    Safety Professional, Advanced $99k

    Advanced Specialist Manager $116k

    Advanced Systems Engineer 2 $125k

    Architect Advanced $133k

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