Advance your knowledge of operations research and social
good!
Recent technological developments allow data analytics practitioners
to solve large problems better and faster with state-of-the-art artificial
intelligence (AI) tools. At the same time, humanity faces overarching
challenges such as the climate crisis, child malnutrition, systemic racism,
and global pandemics, among others. Operations Research for Social
Good: A Practitioner's Introduction Using SAS and Python showcases
operations research (OR) methodologies typically required in engineering
curricula to applications targeted to make this world a better place.
Designed for data scientists, analytics and operations research
practitioners, and graduate-level students interested in learning
optimization modeling with applied use cases, this book provides the
skills to model and solve OR problems with both SAS and Python as well
as practical tools and tips to bridge the gap between academic learning
and real-world implementations based on Data4Good initiatives.
