Tech Webinar: Big Data: Introduzione al Machine Learning ed all'Analisi Predittiva - Mario Cartia

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Mario Cartia ci parla delle tecniche di base dell'analisi predittiva e di alcuni software open source che consentono oggi di effettuare analisi sui dataset, nascondendo la complessità degli algoritmi sottostanti. Iscriviti qui per partecipare ad altri Tech Webinar gratuiti: http://goo.gl/iW81VD Scrivici a: training@codemotion.it Tw: http://twitter.com/CodemotionTR

Technology

BIG DATA: Introduzione
al Machine Learning ed
all’analisi predittiva
Mario Cartia
mario@big-data.ninja
Lunedì 26 Gennaio 2015
Ore 17:15

Machine Learning
“Machine learning is a scientific discipline
that explores the construction and study of
algorithms that can learn from data”
“Such algorithms operate by building a
model based on inputs and using that to
make predictions or decisions”
(source: Wikipedia)

Machine Learning: Use Cases
•  Marketing
– Predicting Lifetime Value (LTV)
– Customer segmentation
– Cross selling/Recommendation
– Product mix
– Channel optimization
– …

Machine Learning: Use Cases
•  Logistics
–  Demand forecasting
•  Risk
–  Credit risk
–  Fraud detection
•  Healthcare
–  Medical resources allocation
– Alerting and diagnostics from real-time
patient data

Machine Learning: Use Cases
•  Life Sciences
– Predicting prescription adherence with
different approaches to reminding patients
– Image analysis or GCMS analysis in a high
throughput manner
– Leveraging molecule database with
metabolic stability data to elucidate new
stable structures

Machine Learning: Use Cases
•  Travel
– Aircraft scheduling
– Dynamic pricing
– Tourism forecasting
•  Other
– Sentiment analysis
– Loyalty programs
– …

Apache Mahout is a project of the
Apache Software Foundation to produce
free implementations of distributed or
otherwise scalable machine learning
algorithms focused primarily in the areas
of collaborative filtering, clustering and
classification

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