Linear Algebra | Master Data Science

#000 Linear Algebra for Machine Learning

Adjacency matrix

Learn what linear algebra is and what are the main applications in the machine learning

#001 Vector addition and scalar-vector multiplication

Learn what the vectors are, where we use them, how we add them and multiply with scalars

# 002 Linear combination of Vectors

Span of vectors

Learn more about basis vectors and what is linear combination and the span of vectors

# 003 Linear transformations and matrices

Linear transformation

Find out how to connect a matrix-vector multiplication with a linear transformation

# 004 The determinant

The determinant of a transformation

Find out what the determinant is and why we use it in linear algebra

# 005 Inverse matrices, Rank, Column space and Null space

Inverse matrices

Learn about inverse matrices, rank, column and null space

# 006 Linear Algebra – Inner or Dot Product of two Vectors