Crowdcast 3

Workshop Overview:

In enterprises and industries, there is a *ton* of time series and signal data. This workshop is aimed at processing huge chunks of time series and signal data. We will be covering:

• Analysis of time series or signal data
• Identifying anomalies and other patterns in the data
• Different approaches for anomaly and pattern detection
• Optimal approaches by use case / When to use each approach

Intended Audience:

• Aspiring Data Scientists
• Current Data Scientists

Topics Covered:

• What is an Anomaly?
• Methods of Anomaly Detection
• Matrix Profile
• Practical Use-Cases

Workshop Takeaways:

• Hands-on Coding Experience
• Practical Problem Solving in Anomaly Detection
• Understanding Methods of Anomaly Detection
• Learning Matrix Profile

To-Do Before Workshop / How to Prepare:

• Preferably have an anaconda environment (otherwise google collab would do)