Join The Data Incubator and Julia Silge, Data Scientist at Stack Overflow, for the next installment of our free online webinar series, Data Science in 30 Minutes: Understanding Principal Component Analysis Using Stack Overflow Data.
Principal component analysis (PCA) is a powerful approach for exploring high-dimensional data, but like most machine learning algorithms can be challenging for learners to understand. In this webinar, we will walk through a practical and interactive explanation of what PCA is and how it works. As a case study we’ll explore a domain that many who work with data are familiar with: programming languages and technologies, as measured by traffic to Stack Overflow questions. We will explore how interactive visualization gives us insight into the complex, real-world relationships in high-dimensional datasets. We will also discuss how data is used at Stack Overflow and life as a data scientist there.