text: Math for Machine 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 Students per Batch.
  - One-to-one option available.
  - Amount: 2250
  - Prerequisites: No