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Coding interviews
The patterns behind most interview problems, each with practice problems judged in your language.
17 concepts
O(n)
Data structures and algorithms
A steady first course: how to measure algorithms, the core structures, sorting, searching, graphs and dynamic programming.
11 concepts
∇
Machine learning foundations
The math and the classic models: from vectors and gradients to regression, trees, clustering and neural networks.
7 concepts
QKᵀ
Deep learning and LLMs
How modern models work: convolution, attention, tokens and sampling, and diffusion, with the foundations they need.
4 concepts
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