Matrix Calculation Course
Gain expertise in matrix computations for practical modelling applications. Strengthen your linear algebra basics, develop design matrices, and implement stable solutions for logistic and linear regression, optimised for professional mathematical tasks. This programme equips you with reliable tools for precise, reproducible results in real-world scenarios.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This course provides a quick, hands-on guide to mastering matrix modelling. Participants will revisit essential linear algebra concepts, construct and verify design matrices, and solve normal equations using regularisation techniques. You will explore robust numerical approaches, apply matrix-based logistic and linear regression, and use effective gradient and optimisation methods for consistent, dependable outcomes.
Elevify Advantages
Develop Skills
- Set up matrix regression efficiently: construct precise design matrices X and targets y swiftly.
- Implement logistic models using matrices: calculate sigmoid, loss functions, and gradients effectively.
- Solve normal equations reliably: utilise QR, SVD, and Cholesky decompositions for robust solutions.
- Identify and resolve numerical problems: spot rank deficiency, ill-conditioning, and apply ridge regularisation.
- Analyse matrix results: interpret coefficients, effect magnitudes, and model constraints accurately.
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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