Introduction to Linear Algebra for Data Science and Machine Learning With Python
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Programming is a great way to get practical insights about math theoretical concepts. The goal of this session is to show you that you can start learning the math needed for machine learning and data science using code. You'll learn about scalars, vectors, matrices and tensors, and see how to use linear algebra on your data. Don't worry if you don't have a math background, we'll explain the mathematical notations and conventions. At the end of the session, you'll know how to operate on vectors, matrices and tensors, use the norm of vectors, and apply the dot product to vectors. You'll also see more advanced concepts like matrices as linear transformations, linear combinations, basis, and how to use matrices to express systems of equations.
Training Overview and Author Bio
Before you get started: Prerequisites and Resources
Introduction to Linear Algebra for Data Science and Machine Learning With Python
Hadrien Jean
Hadrien Jean, PhD
Data and Machine Learning Scientist