Applying Linear Algebra with R

سرفصل های دوره

Take this course if you want to dive into the math behind regression, principal component analysis, and other machine learning topics. The course is in R and is mathematically intense, but the topics can be implemented in any programming language.

1. Course Overview

1. Course Overview

2. Working with Vectors and Matrices in R

1. Working with Vectors and Matrices in R

3. Understanding Operations on Matrices

1. Understanding Operations on Matrices

4. Getting Weird - Inverting, Transposing, and Row Equivalence

1. Getting Weird

5. Solving Linear Equations

1. Solving Linear Equations

6. Understanding and Calculating Eigenvalues and Eigenvectors

7. Calculating the kth Item in a Series

1. Calculating the kth Item in a Series

2. Difference Equations

3. Demo - Calculating the kth Item in a Series

8. Implementing Matrix Decomposition

1. Implementing Matrix Decomposition

2. Demo - Implementing Matrix Decomposition

9. Using Least Squares Calculations

1. Using Least Squares Calculations

2. Demo - Using Least Squares Calculations

139,000 تومان

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تولید کننده: PluralSight