Matrix Calculation Course
Gain expertise in matrix calculations for practical modelling tasks. Strengthen your linear algebra basics, assemble design matrices, and solve logistic and linear regression problems with robust, efficient techniques suited to professional maths applications. Delve into stable methods like QR, SVD, and Cholesky to ensure reliable outcomes in real-world scenarios.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course offers a quick, hands-on way to master matrix modelling. You'll cover essential linear algebra, create and check design matrices, and solve normal equations using regularisation. Discover reliable numerical techniques, code logistic and linear regression in matrix format, and use smart gradient and optimisation methods for consistent results.
Elevify advantages
Develop skills
- Set up matrix regression: quickly build precise design matrices X and targets y.
- Implement logistic models in matrices: calculate sigmoid, loss, and gradients effectively.
- Solve normal equations: use QR, SVD, and Cholesky for stable solutions.
- Spot numerical problems: identify rank deficiency, ill-conditioning, and correct with ridge.
- Analyse 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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