Welcome to the session on Fundamentals of PCA – II!
Here we’ll learn about the concept of variance and it’s importance and use in the PCA, concept of basis vectors and how you can use different basis vectors to represent the same information.
In this session
This session covers some important linear algebra concepts required for understanding PCA and how it works. These main concepts are as follows.
- Introduction to Variance
- Variance as Information
- Directions of Maximum Variance
- The Workings of PCA
People you’ll hear from in this module
Analytics Lead at Flipkart
Seasoned advanced analytics/ data science professional with 10 years of experience in advanced analytics, machine learning, consulting in the e-commerce and healthcare domains. Proficient in machine learning and applications; adept at solving complex problems through data.
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