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Matrix Calculation Course

Matrix Calculation Course
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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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