Recommender System for a Bayesian update
Built for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed. Simulate a Bayesian update live below — adjust the inputs and watch it respond, right in your browser.
Controls
Presets
PageRank ranks nodes by importance: a page is important if important pages link to it. It is computed by imagining a random surfer who follows links with probability d and jumps randomly otherwise, then finding where they spend the most time. This eigenvector of the link matrix launched Google and now ranks everything from proteins to social influence.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
Controls
Presets
Lloyd's algorithm: assign each point to its nearest centroid, then move each centroid to the mean of its members. Repeat until stable. Try setting k different from the true cluster count.
Data Inspector
Governing equation
Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.
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Frequently asked questions
- Is this good for engineers?
- Yes — this version of "Recommender System for a Bayesian update" is framed for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed.
- Do I need to install anything?
- No. It runs in any modern browser, free, with no account required.