Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Practical Machine Learning: Innovations In RecommendationISBN13:9781491915387ISBN10:1491915382Author:Dunning, Ted (Author), Friedman, Ellen (Author)Description:Building A Simple But Powerful Recommendation System Is Much Easier Than You Think Approachable For All Levels Of Expertise, This Report Explains Innovations That Make Machine Learning Practical For Business Production Settings--And Demonstrates How Even A Small-Scale Development Team Can Design An Effective Large-Scale Recommendation System Apache Mahout Committers Ted Dunning And Ellen Friedman Walk You Through A Design That Relies On Careful Simplification You'll Learn How To Collect The Right Data, Analyze It With An Algorithm From The Mahout Library, And Then Easily Deploy The Recommender Using Search Technology, Such As Apache Solr Or Elasticsearch Powerful And Effective, This Efficient Combination Does Learning Offline And Delivers Rapid Response Recommendations In Real Time Understand The Tradeoffs Between Simple And Complex Recommenderscollect User Data That Tracks User Actions--Rather Than Their Ratingspredict What A User Wants Based On Behavior By Others, Using Mahoutfor Co-Occurrence Analysisuse Search Technology To Offer Recommendations In Real Time, Complete With Item Metadatawatch The Recommender In Action With A Music Service Exampleimprove Your Recommender With Dithering, Multimodal Recommendation, And Other Techniques Binding:Paperback, PaperbackPublisher:OREILLY MEDIAPublication Date:2014-10-06Weight:0.19 lbsDimensions:0.12'' H x 9.02'' L x 5.98'' WNumber of Pages:56Language:English
Price: 17.69 USD
Location: USA
End Time: 2024-10-03T11:40:01.000Z
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Book Title: Practical Machine Learning: Innovations In Recommendation
Number of Pages: 56 Pages
Language: English
Publication Name: Practical Machine Learning: Innovations in Recommendation
Publisher: O'reilly Media, Incorporated
Subject: Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics
Item Height: 0.2 in
Publication Year: 2014
Item Weight: 3.5 Oz
Type: Textbook
Author: Ted Dunning, Ellen Friedman
Subject Area: Computers
Item Length: 8.9 in
Item Width: 6.3 in
Format: Trade Paperback
