Matrix Calculation Course
This course equips you with essential matrix calculation skills for modeling. Strengthen linear algebra basics, create robust design matrices, and solve linear and logistic regression problems using reliable numerical techniques suited for professional applications. Gain confidence in producing accurate, reproducible results through efficient optimization methods.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain practical expertise in matrix-based modeling through this course. Review key linear algebra concepts, construct and verify design matrices, solve normal equations with regularization, apply stable numerical techniques, and implement matrix forms of logistic and linear regression with effective gradient optimization for dependable outcomes.
Elevify advantages
Develop skills
- Build clean design matrices and targets quickly for regression.
- Implement logistic models using matrix operations for sigmoid, loss, and gradients.
- Solve normal equations stably with QR, SVD, and Cholesky decompositions.
- Identify and resolve numerical problems like rank deficiency using ridge regularization.
- Analyze matrix results to understand coefficients and model performance.
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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