Introductory
Linear Algebra with Python
Linear systems and matrices, and the vector space structure underlying them, implemented in NumPy.
- linear algebra
- python
- numpy
- mathematics
20 lessons2 modules
Free courses
The foundations behind the code.
Study material on the foundations of computing and machine learning. Each concept is presented with its formal definition, its geometric reading where it has one, and its implementation.
Intermediate
Foundations of LLMs
What exactly is optimised when a language model is trained: self-supervised pre-training, the scaling laws and their correction, and the objectives that separate one architecture family from another.
- llm
- pre training
- transformers
- machine learning
8 lessons2 modules
01
Manipulable figures
Concepts are introduced through figures that can be manipulated, so that intuition precedes the algebraic formulation.
02
Definition and code
Each lesson states the formal definition alongside its corresponding implementation, keeping theory and computation together.
03
Freely available
The complete material is available without prior registration or restrictions.