Linear Algebra Fundamentals for Machine Learning

• Mathematical Notation

  Understand and interpret common mathematical symbols and notation used in linear algebra.

• Vector Operations

  Perform fundamental vector operations such as addition, subtraction, and scalar multiplication.

• Matrix Operations

  Perform fundamental matrix operations including addition, subtraction, scalar multiplication, and matrix multiplication.

• NumPy Implementation

  Implement vector and matrix operations using the Python library NumPy.

• Data Representation

  Recognize how vectors and matrices are used to represent data in machine learning contexts.

• Linear Systems

  Understand the concept of systems of linear equations and their representation using matrices.

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