To address challenges in bridging the gap between health care discovery vs. delivery, Booz Allen is helping policymakers, clinical providers, and researchers approach the Clinical-Research Continuum as a holistic framework for understanding the progression from scientific research to clinical practice and population health. Where there are gaps, Booz Allen builds bridges, linking partners across functions.
Booz Allen Joins the “Campaign to Change Direction,” to Change the Way America Addresses Mental HealthBooz Allen Hamilton is proud to be a founding member of ‘The Campaign to Change Direction,’ a national initiative to create a new story in America about mental health, mental illness and wellness.
Recently, Mike Kim wrote an excellent post on overfitting, a common problem data scientists face when applying machine learning. Earlier, Paul Yacci and Aaron Sander [SM1] both tackled the topics of feature selection and feature creation. These are all key problems that data scientists encounter when building models that seek to describe and predict real-world outcomes based on observed data or hidden patterns in datasets.