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I sit down with my longtime friend and data scientist Rachel Levy to break down the core building blocks of data science, including the difference between AI, machine learning, and data science, and how supervised and unsupervised learning actually work. She explains real tools like Python and K-nearest neighbors, and how companies like Netflix use recommendation algorithms. We end with a lifestyle segment on colored sneakers at the office and why the Aritzia Effortless Pant is a staple in our work wardrobe.
By Kirin SennikI sit down with my longtime friend and data scientist Rachel Levy to break down the core building blocks of data science, including the difference between AI, machine learning, and data science, and how supervised and unsupervised learning actually work. She explains real tools like Python and K-nearest neighbors, and how companies like Netflix use recommendation algorithms. We end with a lifestyle segment on colored sneakers at the office and why the Aritzia Effortless Pant is a staple in our work wardrobe.