WEBINAR: Adding Optimisation to Your Analytics Toolbox - 14 May 2019

Data Science Central Webinar Series Event

Adding Optimization to Your Analytics Toolbox Join us for the latest DSC Webinar on May 14th, 2019 Mathematical optimization, specifically Mixed Integer Programming (MIP), is a technology that is used to solve a large variety of problems within multiple industries, including supply chain planning, electrical power generation and distribution, computational finance, sports scheduling, and many more. This powerful technology is complementary to Machine Learning and should be a part of every data scientist’s analytics toolbox. In this latest Data Science Central webinar, you will learn: The basics of optimization and MIP How to identify optimization problems within your organization When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem How MIP can be used as a complementary technique to Machine Learning We will present real-world examples of Machine Learning and optimization in action, illustrating the value it can bring to your organization. We will also provide you with next steps on how to get started with optimization as well as available resources. Speakers: Dr. Russel Halper, Principal -- End-to-End Analytics Dr. Gwyneth Butera, Sr. Support Engineer -- Gurobi Optimization Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Adding Optimization to Your Analytics Toolbox Date:  Tuesday, May 14th, 2019 Time:  9 AM - 10 AM PDT   Space is limited so please register early: Reserve your Webinar seat now