Matrix Calculation Course
Gain expertise in matrix calculations for practical modeling tasks. Strengthen your linear algebra basics, assemble design matrices, and solve logistic and linear regression problems using stable, efficient techniques designed for professional math applications. Build skills for reliable computations in real-world scenarios, ensuring accurate and reproducible outcomes every time.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course offers a quick, hands-on way to master matrix modeling. Review key linear algebra concepts, create and check design matrices, solve normal equations with or without regularization. Master reliable numerical techniques, code logistic and linear regression using matrices, and use effective gradient and optimization methods for consistent results.
Elevify advantages
Develop skills
- Set up matrix regression: quickly build clean design matrices X and targets y.
- Implement logistic models with matrices: calculate sigmoid, loss, and gradients effectively.
- Solve normal equations stably: use QR, SVD, and Cholesky decompositions for robust solutions.
- Identify and fix numerical problems: spot rank deficiency, ill-conditioning, and apply ridge regularization.
- Analyze matrix results: understand coefficients, effect sizes, and model constraints.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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