Matrix Calculation Course
Gain expertise in matrix calculations for practical modelling applications. Strengthen your linear algebra basics, prepare design matrices effectively, and solve logistic and linear regression problems using robust and efficient numerical approaches designed for professional mathematical tasks. Delve into advanced topics like QR decomposition, SVD, and regularisation to handle real-world challenges confidently.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a quick and practical way to master matrix-based modelling. You will go over essential linear algebra concepts, create and check design matrices, and solve normal equations with or without regularisation. Discover reliable numerical techniques, code logistic and linear regression using matrices, and use effective gradient and optimisation methods for consistent and dependable outcomes.
Elevify advantages
Develop skills
- Set up matrix regression quickly by constructing precise design matrices X and targets y.
- Implement logistic models using matrices to calculate sigmoid, loss functions, and gradients smoothly.
- Solve normal equations reliably with QR, SVD, and Cholesky decompositions for accurate results.
- Spot and resolve numerical problems like rank deficiency and ill-conditioning using ridge regularisation.
- Analyse matrix results to understand coefficients, effect sizes, 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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