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"Machine learning is just a bunch of if-statements under the hood." ...maybe it is!
Jun 25, 2024
Continuing with linear algebra: LU decomposition, matrix inverses, transposes and permutation.
Jun 24, 2024
Briefly going over some ways to optimize our datasets before feeding them to ML models.
Jun 22, 2024
Today we're exploring an elegant classification model - the Support Vector Machine (SVM).
Jun 21, 2024
A brief look into elementary matrices.
Jun 17, 2024
Continuing with linear algebra.
Jun 15, 2024
Exploring systems of linear equations graphically.
Jun 14, 2024
Briefly covering a fundamental ML optimization algorithm.
Jun 13, 2024
Continuing on statistics and probability.
Jun 12, 2024
First part of the code-centric approach to stats series.
Jun 11, 2024
What if you wanted to fit a line into data?
Jun 10, 2024
Looking into integrals and Riemann sums.
Jun 9, 2024
Revisiting what I've studied in calculus before - limits and derivatives.
Jun 8, 2024
The start of my plan to become a machine learning engineer.
Jun 7, 2024
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