Domain and technical knowledge aren’t sufficient criteria when looking for your new data science hire. We have found that a better characterization of a data scientist’s innate potential is the way they balance creativity and skepticism.
Most data is raw and needs to be shaped into usable features that highlight signal and minimize noise. “Feature engineering” is the most important part of real-world data science, paving the path from raw data to valuable insights.
How to review and gain insights from the mountain of medical literature without reading it.
Accelerate hypothesis development with AI-driven insights from scientific literature
We are constantly sending signals that communicate emotion, intent, and even underlying medical conditions. These signals can take the form of facial macro and micro expressions, variations in posture and body movements, as well as minute fluctuations in vocal pitch, frequency, and pronunciations.
Data science, done correctly, can help teams avoid common pitfalls.