Algorithmic Learning in a Random World

Algorithmic Learning in a Random World

by Glenn Shafer, Vladimir Vovk, Alex Gammerman

324 pages· 2005· ISBN 9780387001524
Join Readfeed freeFind clubs reading this bookBrowse readable books
About
A new scientific monograph developing significant new algorithmic foundations in machine learning theory. Researchers and postgraduates in CS, statistics, and A.I. will find the book an authoritative and formal presentation of some of the most promising theoretical developments in machine learning.

Discuss Algorithmic Learning in a Random World with other readers

Join or start a book club for Algorithmic Learning in a Random World on Readfeed. Live chat, shared reading progress, and AI discussion questions — free to get started.

Sign up freeBrowse book clubs

Frequently asked questions

How do I join a book club for Algorithmic Learning in a Random World?

Sign up free on Readfeed, then browse public clubs or start your own club with Algorithmic Learning in a Random World as the current read. Invite friends with a share link and discuss together with live chat and AI discussion questions.

Can I discuss Algorithmic Learning in a Random World with other readers online?

Yes. Readfeed book clubs let you chat live, share progress, and join discussions about Algorithmic Learning in a Random World with readers worldwide — whether your club is virtual, in-person, or hybrid.

Is Readfeed free?

Yes. Creating an account and joining book clubs is free. Sign up to find readers who love the same books and start discussing today.