Introduction to Change Point Analysis
English Talk
Elvyna Tunggawan
from Airy
A data analytics enthusiast; interested in time series analysis, causal inference, and natural language processing.
"How to know whether any change exists? Using proper approach, you can make better inference; who knows that you've successfully reduced your boba intake?"
I am currently working as a Data Scientist at Airy, with experience in end to end data projects: data collection, data warehousing, visualization, statistical analysis, and machine learning. My interests are causal inference and natural language processing.
Introduction to Change Point Analysis
The goal of this session is to share how to identify **when** any change occurs in your data.
It will start with an explanation of change point analysis and some of the available techniques.
To make it more practical, there will be a demonstration of how to implement **single change point analysis** using the cumulative sum approach, mean squared error, and Bayesian approach (if the time is still available).
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