Course Content
Mathematics for Data Analysis and Modeling
Mathematics for Data Analysis and Modeling
1. Basic Mathematical Concepts and Definitions
2. Linear Algebra
Numerical Operations on Vectors and MatricesChallenge: Calculate the Matrix Multiplication ResultMatrix DeterminantScaling Factor of the Linear TransformationChallenge: Figures' Linear TransformationsInversed and Transposed MatricesSystem of Linear EquationsChallenge: Solving the Task Using SLEEigenvalues and Eigenvectors
Challenge: Solving the Task Using SLE
Task
Swipe to begin your solution
We have already considered how to solve the SLE using inversed matrix. But we can also use np.linalg.solve(A, y) method that calculates the solution of the SLE:
A * x = y.
Your task is to solve the system using both these methods and compare the results:
- Use
np.linalg.solve()method. - Use
np.inv()method to calculate inversed matrix and provide solution using:x = A_inv @ y.
Solution
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Section 2. Chapter 8
Challenge: Solving the Task Using SLE
Task
Swipe to begin your solution
We have already considered how to solve the SLE using inversed matrix. But we can also use np.linalg.solve(A, y) method that calculates the solution of the SLE:
A * x = y.
Your task is to solve the system using both these methods and compare the results:
- Use
np.linalg.solve()method. - Use
np.inv()method to calculate inversed matrix and provide solution using:x = A_inv @ y.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowEverything was clear?
Thanks for your feedback!
Section 2. Chapter 8
Switch to desktop for real-world practiceContinue from where you are using one of the options below