Math for Mahine Learning Linear Algebra


Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning.


  • Recall how machine learning and vectors and matrices are related
  • Interpret how changes in the model parameters affect the quality of the fit to the training data
  • Recognize that variations in the model parameters are vectors on the response surface – that vectors are a generic concept not limited to a physical real space
  • Use substitution / elimination to solve a fairly easy linear algebra problem
  • Understand how to add vectors and multiply by a scalar number
  • 10 Student per Batch.
  • One to one option avalible.