Linear Algebra
Fundamentals of matrix and vector operations in Python.
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Getting Started with Anaconda Notebooks
Course Overview and Learning Objectives
What is a Vector?
Declaring a Vector in NumPy
Adding and Scaling Vectors
Exercise: Combine the Vectors
What is a Matrix?
i-hat and j-hat
Matrix Vector Multiplication
Types of Linear Transformations
Exercise: Execute the Transformation
Vectors in Higher Dimensions
Transformations in Higher Dimensions
Tensors and Higher Dimensional Data
Exercise: Transforming High-Dimensional Vectors
The Determinant
Linear Dependence
Special Case Matrices
Exercise: Is This Matrix Linear Dependent?
Combining Transformations
Inverse Matrices
Understanding the Dot Product
Exercise: Combine the Matrices
System of Equations
Eigendecomposition
Linear Regression
Neural Networks
Exercise: Solve the System of Equations
Summary and Further Reading Resources
End of course survey
Learner Testimonials
Easy to follow
Leonardo Vega
Demonstrates basic concepts really well!
Demonstrates basic concepts really well!
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