Subject
2 entries
Probabilistic
Bookmarks
Algorithms and Data Structures for Massive Datasets
Manning 2021 textbook covering algorithms and data structures built for massive datasets — Bloom filters, HyperLogLog, Count-Min Sketch, LSH, and streaming algorithms. Practical treatment of how to handle data that won't fit in memory or where exact answers are too expensive.
Metacademy — Bayesian Machine Learning Roadmap
Roger Grosse's curated Metacademy roadmap for learning Bayesian machine learning from scratch — a sequenced path through Bayesian inference, probabilistic graphical models, approximate inference, and nonparametric methods. The systematic route through a complex prerequisite landscape.