Discrete Stochastic Processes - Tools for Machine Learning and Da...

Category Other
Type E-Books
Language English
Total size 38.4 MB
Uploaded By freecoursewb

Downloads 111
Last checked 1 month ago
Date uploaded 1 year ago
Seeders 9
Leechers 0

Infohash : B8E46EF49F6A03ECA668FD5272DA2FA3220AC265

Discrete Stochastic Processes: Tools for Machine Learning and Data Science

https://DevCourseWeb.com

English | 2024 | ISBN: 3031658191 | 300 Pages | PDF EPUB (True) | 38 MB

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (excited) random walks, convergence and mixing of Markov chains, distribution modeling using phase-type distributions, applications to search engines and probabilistic automata, and an introduction to the Ising model used in statistical physics. Applications to data science are also considered via hidden Markov models and Markov decision processes. A total of 32 exercises and 17 longer problems are provided with detailed solutions and cover various topics of interest, including statistical learning.

Download from free file storage

                Files: 

                [ DevCourseWeb.com ] Discrete Stochastic Processes - Tools for Machine Learning and Data Science
Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here !978-3-031-65820-4.epub (26.1 MB)
978-3-031-65820-4.pdf (12.3 MB)
Bonus Resources.txt (0.4 KB)

There are currently no comments. Feel free to leave one :)

Code:

udp://tracker.torrent.eu.org:451/announce
udp://tracker.tiny-vps.com:6969/announce
http://tracker.foreverpirates.co:80/announce
udp://tracker.cyberia.is:6969/announce
udp://exodus.desync.com:6969/announce
udp://explodie.org:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://9.rarbg.to:2780/announce
udp://tracker.internetwarriors.net:1337/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://open.stealth.si:80/announce
udp://9.rarbg.to:2900/announce
udp://9.rarbg.me:2720/announce
udp://opentor.org:2710/announce