Course details

Math for Data Science & Machine Learning

Math for Data Science & Machine Learning


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the application of key mathematical topics related to linear algebra with the Python programming language.



Expected Duration (hours)
1.0

Lesson Objectives

Math for Data Science & Machine Learning

  • understand how to work with vectors in Python
  • understand basis and projection of vectors in Python
  • understand how to work with matrices in Python
  • understand how to multiply matrices in Python
  • understand how to divide matrices in Python
  • understand how to work with linear transformations in Python
  • understand how to apply gaussian elimination in Python
  • understand how to work with determinants in Python
  • understand how to work with orthogonal matrices in Python
  • recognize how to obtain eigenvalues from eigen decomposition in Python
  • recognize how to obtain eigenvectors from eigen decomposition in Python
  • recognize how to obtain pseudo inverse in Python
  • work with math for data science and machine learning
  • Course Number:
    it_mlmds1dj_01_enus

    Expertise Level
    Intermediate