[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
K-Lite Codec Pack 19.8.0 / 19.8.0 Update
Changes in 19.8.0: ...harlan4096 — 09:32
Mozilla Firefox Browser 152.0
Mozilla Firefox Br...harlan4096 — 08:00
qBittorrent 5.2.2
qBittorrent 5.2.2:...harlan4096 — 07:37
Opera 132.0.5905.73
Hello! We’ve ro...harlan4096 — 07:36
VirtualBox 7.2.10
VirtualBox 7.2.10 ...harlan4096 — 07:35

[-]
Birthdays
Today's Birthdays
avatar (45)JamesReshy
avatar (47)Francisemefe
avatar (40)leoniDup
avatar (39)Patrizaancem
Upcoming Birthdays
avatar (39)Tedscolo
avatar (46)brakasig
avatar (39)biobdam
avatar (40)storoBox
avatar (48)kinotHeemn
avatar (39)Ceballos1976
avatar (40)efynu

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

>