Understanding automatic differentiation through computational graphs
What is shannon fano encoding and how is it used in data compression.
Understanding Markov chains.
Understanding Eigenvalue decompositions and SVD.
Understanding optimization of functions using Newton’s method and L-BFGS.
Understanding and visualizing 1D and 2D taylor series.
Plotting and understanding log-likelihood as a function of parameters for normal distribution.
Understanding matrix transformations as pre-multiplying a vector with a matrix and interpreting matrix transformations using low-rank matrices.
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