Stochastic Processes and Simulations – A Machine Learning Perspective

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
For full description and table of contents, visit MLTechniques.com.
Currently available as PDF download. Upon purchase, we will mail a confirmation letter to the recipient, with download link and our contact information for technical support. For email delivery, send us your Amazon Order ID at vincentg@MLTechniques.com. You will receive a link from us (valid for 30 days) to download the PDF file. The recipient will also receive our confirmation letter sent via UPS.
Note: If the book is not currently available on Amazon, it can always be obtained directly from the publisher website (MLTechniques.com).