Data Science Webinar Series - Session 2

As part of our 2020 Data Science Webinar Track, we will be hosting the second session in our webinar series developed to instruct Data Scientists on how to use mathematical optimization. With mathematical optimization, companies can capture the key features of their business problems in an optimization model and can generate optimal solutions (which are used as the basis to make optimal decisions). Data scientists with some basic mathematical programming skills can easily learn how to build, implement, and maintain mathematical optimization applications. The Gurobi Python API borrows ideas from modeling languages, enabling users to deploy and solve mathematical optimization models with scripts that are easy to write, read, and maintain. Such modules can even be embedded in decision support systems for production-ready applications. In this latest Data Science Central webinar, we will: - Discuss the motivation for using Python in mathematical optimization applications - Help you understand the importance of parameterizing a mathematical optimization model - Review some of the best practices for deploying mathematical optimization models in Python Speaker: Juan Antonio Orozco, Optimization Support Engineer at Gurobi Optimization. Hosted by: Sean Welch, Host and Producer – Data Science Central Learn more about Gurobi Optimization here: https://www.gurobi.com/ Check out our Optimization Application Demos here: https://www.gurobi.com/resources/?cat... Check out our 2,400 customers: https://www.gurobi.com/customers/exam... -- About Gurobi Gurobi produces the world’s fastest and most powerful mathematical optimization solver – the Gurobi Optimizer – which is used by leading global companies across more than 40 different industries to rapidly solve their complex, real-world problems and make automated decisions that optimize their efficiency and profitability. As the market leader in mathematical optimization software, we aim to deliver not only the best solver, but also the best support – so that companies can fully leverage the power of mathematical optimization (on its own or in combination with other AI techniques such as machine learning) to drive optimal business decisions and outcomes. Founded in 2008, Gurobi has operations across the USA, Europe, and Asia and more than 2,400 customers globally including Air France, Uber, and the National Football League (NFL). For more information, please visit https://www.gurobi.com/ or call +1 713 871 9341. -- Like Us: https://www.facebook.com/GurobiOptimi... Follow Us: https://twitter.com/gurobi Connect with Us: https://www.linkedin.com/company/guro... #optimization #datascience #dataanalytics #machinelearning #analytics #gurobipy