Courage

Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss FunctionsWelcome back! Within the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today,...

Courage to Learn ML: Decoding Likelihood, MLE, and MAP

With A Tail of Cat Food Preferences10 min read·13 hours agoWelcome to the ‘Courage to learn ML’. This series goals to simplify complex machine learning concepts, presenting them as a relaxed and informative dialogue,...

Courage to Learn ML: Demystifying L1 & L2 Regularization (part 3)

I’m glad you brought up this query. To get straight to the purpose, we typically avoid p values lower than 1 because they result in non-convex optimization problems. Let me illustrate this with a...

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