Matrix operations for AI and machine learning
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Master matrix operations, a foundational concept for AI and machine learning. Learn how to perform and apply matrix operations in various AI algorithms, including neural networks and optimization.
At a Glance
Matrices are at the heart of everything we do in AI. ChatGPT, Llama, and other LLMs are all built on matrices. Learn the basics of matrices using Python, NumPy, and sklearn to put yourself on a path towards understanding AI. In this hands-on project, you learn the essential principles and operations of matrices. The project covers everything from basic matrix operations to more advanced concepts, such as principle component analysis (PCA). Take your first step towards navigating the intricacies of AI by starting this free project today!
A look at the project ahead
Learning objectives
- Learn basic matrix operations such as
- Matrix addition and subtraction
- Vector multiplication
- Eigen decomposition
- Apply these matrix operations using NumPy
- Factorize for PCA, and confirm the result using sklearn
What you’ll need
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