Matrix Calculation Course
Gain expertise in matrix calculations for practical modelling applications. Establish strong linear algebra basics, assemble design matrices, and solve logistic and linear regression problems with robust, efficient techniques designed for professional maths tasks. Delve into stable methods like QR, SVD, and Cholesky to handle real-world challenges confidently.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This course offers a quick, hands-on way to master matrix modelling. You'll go over essential linear algebra concepts, create and check design matrices, and solve normal equations using regularisation where needed. Discover reliable numerical approaches, code logistic and linear regression using matrices, and use smart gradient and optimisation methods for consistent, dependable outcomes.
Elevify advantages
Develop skills
- Set up matrix regression: quickly construct precise design matrices X and targets y.
- Implement logistic models with matrices: calculate sigmoid, loss functions, and gradients effectively.
- Solve normal equations stably: utilise QR, SVD, and Cholesky decompositions for reliable results.
- Spot and fix numerical problems: identify rank deficiency, ill-conditioning, and apply ridge regression.
- Analyse matrix results: interpret coefficients, effect magnitudes, and model constraints clearly.
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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