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Gibbs Measures In Machine Learning

Category: eBooks



Gibbs Measures In Machine Learning

Gibbs Measures In Machine Learning | 13.11 MB

Title: Gibbs Measures in Machine Learning (377 Pages)
Author: Laziz U Abdullaev & Utkir A Rozikov
Category: Fiction & Literature, Short Stories, Science Fiction & Fantasy, Science Fiction
Language: English | 378 Pages | ISBN: 9819814561



Description:
A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy
Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning millions of fans worldwide, first with his best-selling novel Wool, and then with other enthralling works such as Sand and Beacon 23.
Now comes Machine Learning, an impressive collection of Howey's science fiction and fantasy short fiction, including three stories set in the world of Wool, two never-before-published tales written exclusively for this volume, and fifteen additional stories collected here for the first time. "Glitch" asks what happens when a battle bot refuses to fight. "The Automated Ones" introduces ideas of discrimination in a world populated by both humans and AI, and its sequel "WHILE (u > i) i –;" explores the challenges a human woman and an android face after falling in love. In "Select Character" a new mother who is bored with being stuck at home starts playing her husbands' video game according to her own rules-- and makes a surprising discovery. These stories explore everything from artificial intelligence to parallel universes to video games, and each story is accompanied by an author's note exploring the background and genesis of each story.
Howey's incisive mind makes Machine Learning: New and Collected Stories a compulsively readable and thought-provoking selection of short works—from a modern master at the top of his game.

DOWNLOAD:

https://rapidgator.net/file/4e3d784b2c2b59e21b0519ca11cf1072/Gibbs_Measures_In_Machine_Learning.pdf

https://nitroflare.com/view/17FE877D99B8E3A/Gibbs_Measures_In_Machine_Learning.pdf


   
   
   


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