@KrisPrad
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Feb 25, 2025 · 1 min read · The idea behind logistic regression is to take a score and pass it through a function that always lies between [0,1] to interpret the results as probability. SoftMax is typically a general case useful for more than 2 classes. The weights now form a m...
Join discussionFeb 25, 2025 · 2 min read · GD is a convex optimization scheme.w := w - l.r * dJ(w)/dw. This is the general form of gradient descent.It attempts to find a point of minima, because as W → minima, dJ/dw → 0, so the solution converges. In practice, by noticing the change in the gr...
Join discussionFeb 23, 2025 · 4 min read · Linear Regression is one of the simpler algorithms, according to what I’ve read. It’s a pretty elegant idea; fit a curve ( a polynomial generally ) to the data. The curve should fit to the overall data “neatly”. Use that curve to estimate new values....
Join discussionFeb 23, 2025 · 1 min read · I am learning Machine Learning and related stuff, and this blog is to hold myself accountable. It’s means (hopefully) for me to stop my intense but infrequent bursts of studying to a more consistent and typical study sessions. My goal is to gather en...
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