Building a Recommender: Best Practices with Apache Mahout and Solr - Emerging Technologies 2014
Offered By: ChariotSolutions via YouTube
Course Description
Overview
Syllabus
EMERGING TECHNOLOGIES FOR THE ENTERPRISE CONFERENCE
What Does ML Look Like?
Learn a New Language
What Do You See?
Human insight plays an important role
Typical Machine Learning Workflow
Recommendation: Widely Used Machine Learning
Get Useful Indicators from Behaviors
History Matrix: Users by Items
Co-occurrence Matrix: Items by Items
Indicator Matrix: Anomalous Co-Occurrence
Setting up Solr index: Item Meta-Data
Welcome to the Music Machine!!
Sample Music Log File Data
Offline Analysis
Internals of the Recommender Engine
Real-time recontmendations using MapR data platform
A Quick Simplification
Architectural Advantage
Better Long-Term Recommendations
Why Use Dithering?
Apache Mahout: Overview
Mahout and Scala
Mahout and Spark
Mahout and h2o
Roadmap: Apache Mahout 1.0
Join Apache Mahout
Learn about Apache Mahout
Taught by
ChariotSolutions
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