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One Analysis a Day Keeps Anomalies Away - Detecting and Analyzing Data Anomalies

Offered By: EuroPython Conference via YouTube

Tags

Anomaly Detection Courses Machine Learning Courses Python Courses Time Series Analysis Courses Multivariate Analysis Courses Root Cause Analysis Courses Data Drift Courses

Course Description

Overview

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Explore Python techniques for data observability and anomaly detection in this 28-minute conference talk from EuroPython 2024. Learn methods to monitor data health, spot anomalies in multivariate time series, and perform efficient root cause analysis. Discover strategies for distinguishing true anomalies from data drift and setting up effective monitoring systems. Gain insights on turning data challenges into business opportunities, making this talk valuable for machine learning enthusiasts and those focused on maintaining data quality.

Syllabus

One analysis a day keeps anomalies away! — Madalina Ciortan


Taught by

EuroPython Conference

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