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

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

  • 1. BIG DATA: Introduzione al Machine Learning ed all’analisi predittiva Mario Cartia mario@big-data.ninja Lunedì 26 Gennaio 2015 Ore 17:15
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  • 3. 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)
  • 4. Machine Learning: Use Cases •  Marketing – Predicting Lifetime Value (LTV) – Customer segmentation – Cross selling/Recommendation – Product mix – Channel optimization – …
  • 6. Machine Learning: Use Cases •  Logistics –  Demand forecasting •  Risk –  Credit risk –  Fraud detection •  Healthcare –  Medical resources allocation – Alerting and diagnostics from real-time patient data
  • 7. 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
  • 8. Machine Learning: Use Cases •  Travel – Aircraft scheduling – Dynamic pricing – Tourism forecasting •  Other – Sentiment analysis – Loyalty programs – …
  • 9. 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
  • 10.