This book is about designing mathematical and Machine Learning algorithms using the Apache Mahout "Samsara" platform. The material takes on best programming practices as well as conceptual approaches to attacking Machine Learning problems in big datasets. Math is explained, followed by code examples of distributed and in-memory computations. Written by Apache Mahout committers for people who want to learn how to design distributed math algorithms as well as how to use some of the new Mahout "Samsara" algorithms off-the-shelf. The book covers Apache Mahout 0.10 and 0.11.
Populaire auteurs
Cram101 Textbook Reviews (948) J.S. Bach (447) Wolfgang Amadeus Mozart (306) Collectif (268) Schrijf als eerste een recensie over dit item (265) Doug Gelbert (238) Charles Dickens (222) Princess of Patterns (211) Jules Verne (199) R.B. Grimm (197) William Shakespeare (190) Anonymous (188) Carolyn Keene (187) Gilad Soffer (187) Mark Twain (187) Philipp Winterberg (181) Edgar Allan Poe (173) Youscribe (172) Lucas Nicolato (170) Herman Melville (169)Populaire gewichtsboeken
418 KB 425 KB 435 KB 459 KB 474 KB 386 KB 445 KB 439 KB 455 KB 413 KB 432 KB 421 KB 471 KB 493 KB 472 KB 485 KB 416 KB 451 KB 369 KB 427 KB