Biorevolutions: Predicting Biotechnology Success Using Data Science - Gunnar Kleeman скачать в хорошем качестве

Biorevolutions: Predicting Biotechnology Success Using Data Science - Gunnar Kleeman

GUNNAR KLEEMAN | DIRECTOR OF RESEARCH AND DEVELOPMENT AT BERKELEY DATA SCIENCE GROUP Which biotechnologies will move from concept to mainstream? How can we make more data-driven decisions on biotech investments? Using publicly available data, Berkeley Data Science Group developed a machine-learning-based predictive model to analyze biotech startups’ success rates and provide insights into the likelihood of IPO. This presentation outlines how the team developed its web-based tool, which allows the user to manually adjust the model, input hypothetical startup profiles, and explore existing profiles to identify trends, patterns and outliers.