The quantified self movement empowers individuals to track biological, physical, behavioral, and environmental data with the goal of gaining personal insights and driving change.
But with such a constant flow of information—from phones, smartwatches, and apps—how do we transform raw data into meaningful health insights?
In this talk, I’ll explore how I’ve used data gathered through Nearine, along with techniques like data cleaning, feature engineering, and machine learning, to gain a clearer picture of my own mental health. I’ll show how this process can serve as a powerful tool for cultivating self-awareness through data.
This talk is designed for those at the beginning of their machine learning journey, or anyone curious about how technology can help us understand our inner lives more deeply.
