Probability and Statistics for Computer Science

Probability and Statistics for Computer Science

James L. Johnson


complete and thorough improvement of either likelihood and statistics for critical machine scientists; goal-oriented: "to current the mathematical research underlying likelihood results"
unique emphases on simulation and discrete selection theory
Mathematically-rich, yet self-contained textual content, at a gradual pace
assessment of calculus and linear algebra in an appendix
Mathematical interludes (in every one bankruptcy) which study mathematical thoughts within the context of probabilistic or statistical importance
quite a few part workouts, summaries, historic notes, and extra Readings for reinforcement of content material

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