Stochastic Processes and Simulations - A Machine Learning Perspective

Stochastic Processes and Simulations – A Machine Learning Perspective



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English | 2022 | ISBN: 057838406X | PDF | pages: 96 | 5.6 mb

The 100 page book on stochastic processes.

This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets including synthetic data, source code, videos, spreadsheets and solved exercises. Selected topics
- spatial processes
- GPU clustering
- covering problems
- perturbed lattices
- new inference techniques: dual confidence regions and Rayleigh test
- lattice-based point processes
- numerous simulations