BFS finds shortest path in unweighted graphs; DFS uses less memory
Image: Ibama from Brasil, CC BY 2.0, via Wikimedia Commons
BFS finds shortest path in unweighted graphs; DFS uses less memory
Graph (abstract data type)
Time complexity of BFS and DFS: O(V + E)
non-convex loss landscapes are hard: many local minima and saddle points
Why do some hills have more tricky paths than others?
LSM trees optimize: write-heavy workloads by buffering writes in memory
Ever wondered how your favorite social media app handles millions of new posts every minute?
Proximal gradient methods for learning
Why can't we always find the best path in a maze?
GraphSAGE does: samples and aggregates a fixed-size neighborhood
GraphSAGE samples and aggregates a fixed-size neighborhood
Chebyshev distance
Chebyshev distance is named after Pafnuty Chebyshev
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