Basics Machine Learning
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Why neural networks are actually direct estimators of the posterior probability
3 min read -
Gaussian Classifiers, exploring the effect of covariance and priors on the posterior probability surface
3 min read -
Equivalence of Regularised Least Squares and Maximising the Posterior Probability Function
Data ScienceMachine Learning Derivation Why regularized least squares is equivalent to the maximum posterior solution and…
3 min read -
A basic but powerful classifier and regressor, their derivations and why they work
3 min read -
A tutorial to one of the most elegant and beautiful theorems in Natural Language Processing.…
12 min read