Bias-Variance Trade-off
Reducing the error in a machine learning model is a balancing act between reducing bias and variance.
Machine Learning FundamentalsAll Posts
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Maximum Likelihood Estimation
Maximum likelihood estimation and a little probability review.
Machine Learning FundamentalsOptimality & Gradient Descent
Local versus global optimums and a deep dive into gradient descent.
Machine Learning FundamentalsLoss Functions & Convexity
Uncovering loss functions and convexity.
Machine Learning FundamentalsIntroduction to Machine Learning
The basics of how machines learn from data.
Machine Learning FundamentalsNavier-Stokes Equations
Deriving the Navier-Stokes equations from scratch.
Physics