Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Alessandra Staglianò

Alessandra Staglianò
Data Scientist, The ASI

Website

Alessandra Staglianò is a data scientist who has worked on multiple complex projects. In addition to various machine-learning techniques, Alessandra’s expertise is in extracting relevant information from noisy and redundant data. Her former research work has been published in a variety of journals. Alessandra holds a PhD in computer science specializing in machine learning and machine vision.

Sessions

13:30–14:00 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Advanced
Tags: real-time, iot
Average rating: ****.
(4.50, 4 ratings)
Anomaly detection is a hot topic in data and can be applied to various fields. Anomaly detection faces challenges common to all big data projects but also deals with higher uncertainty and more difficult measurements, all while operating in real time. Alessandra Staglianò explains how those challenges translate to the real world and how to overcome them with the latest data science tools. Read more.