Data Science Based Decisions: Mixed-Integer Programming

This latest Data Science Central podcast traces the history of mixed-integer programming (MIP), noting several parallels with machine learning. In the process, we briefly discuss the impact that MIP has had on a number of application domains. We then talk about how machine learning and optimization can complement each other; the former making predictions about likely future business outcomes, and the latter suggesting appropriate actions to take in order to take advantage of these outcomes.
Speaker:
Dr. Edward Rothberg, CEO and Co-founder - Gurobi Optimization
Hosted by:
Rafael Knuth, Contributing Editor - Data Science Central

--

--

Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.

Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.

--

#optimization #datascience #dataanalytics #machinelearning #analytics #research #operationsresearch #Gurobi #gurobipy #AI #artificialintelligence #algorithms #mathematicaloptimization #jupyternotebook #heuristics #MIP #mixedintegerprogramming #MIQP #python