Stochastic Processes and Simulations - A Machine Learning Perspective

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Free Download Vincent Granville, "Stochastic Processes and Simulations - A Machine Learning Perspective"
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

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 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).

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