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

1. 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