Most of us hear terms like AI, machine learning, and data science used interchangeably, and if you have ever wondered what any of it actually means, you are not alone. In this episode of patchperfect, I sit down with my longtime friend and data scientist, Rachel Levy⁠, to break down what data science really is and how it shows up in the products we use every day.

Rachel shares what her day to day actually looks like as a data scientist, the kinds of problems she works on, and how she moved from being curious about math and patterns to building models that shape real world products.

This is the patch:

• the difference between AI, machine learning, and data science in plain English
• how supervised and unsupervised learning power things like Netflix recommendations
• the tools and concepts Rachel actually uses, including Python and k nearest neighbors

At its core, this episode is about feeling more confident talking about data and realizing that these systems are not as mysterious or out of reach as they are often made to seem.

We wrap with a lifestyle segment on colored sneakers at the office and why the Aritzia Effortless Pant⁠ has become a staple in our work wardrobes.

If you have ever wanted tech to make more sense and your work outfits to feel a little more fun, this one is for you. All views expressed are my own.