[Ebook] Building Recommendation Engines
#1
Wink 
[Image: jzR4Ldal.png]

Building Recommendation Engines


Recommender systems have become extremely common in recent years, and are applied in a variety of applications. This book will teach you how to understand your data and user preferences to make intelligent, accurate, and profitable decisions. You will learn to build recommender systems with popular frameworks such as R, Python, Spark, Neo4j, and Hadoop. You will get an insight into the pros and cons of each recommendation engine and when to use which recommendation to ensure each pick is the one that suits you the best.

Get HERE, Today Only, 18 hours left to get the book
Reply


Forum Jump:


Users browsing this thread: 1 Guest(s)
[-]
Welcome
You have to register before you can post on our site.

Username/Email:


Password:





[-]
Recent Posts
QOwnNotes
26.3.11  Changed ...Kool — 13:04
UltraSearch 4.9.1
Version 4.9.1 I...harlan4096 — 10:46
Microsoft Edge 146.0.3856.59
Microsoft Edge 146...harlan4096 — 10:45
Google Chrome 146.0.7680.80
Google Chrome 146....harlan4096 — 10:39
Vivaldi 7.8 Build 3925.81
Vivaldi 7.8 Build ...harlan4096 — 10:38

[-]
Birthdays
Today's Birthdays
avatar (39)chasRex
Upcoming Birthdays
avatar (44)gapedDow
avatar (38)snorydar
avatar (43)Hectorvot
avatar (51)knowhanPluts
avatar (39)Williamengiz
avatar (46)qaqapeti
avatar (44)battsourIonix
avatar (43)CedricSek
avatar (33)uteluxix
avatar (47)piafcflene
avatar (39)Matthewkah
avatar (38)Charlesfibre
avatar (38)francisnj3
avatar (43)artmaGoork

[-]
Online Staff
There are no staff members currently online.

>