Introduction to Linear Algebra for Machine Learning
Linear algebra is the backbone of deep learning. This course provides a fundamental understanding of vectors, matrices, and their operations, which are essential for building and optimizing complex machine learning models.
Lessons and practices
Vectors and Matrices in Python
Modify the Column Vector
Fix the Matrix
Defining the Matrix
Find the Dimensions of a Matrix
Creating a 3D Matrix from Two 2x2 Matrices
Calculate Weekly Total Sales Using Vector Addition
Predicting Expenses with Inflation and Scalar Multiplication
Perform Price Adjustments on Product List
Combine Student Scores Using Vector Addition
Total Sales Calculation per Product Using Matrix Addition
Adjust Monthly Budgets by Percentage Increase
Calculating Average Daily Temperatures
Exploring the Transposition
Calculating Dot Product of Forces in 3D Space
Change Vectors to Achieve Zero Dot Product
Check If Matrix Multiplication Is Possible and Compute the Result
Matrix-Vector Multiplication
Calculate Determinant and Check for Linear Dependency
Define a Matrix with Zero Determinant
Find the Determinant of a 3x3 Matrix
Solvability Check Using Determinants
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