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Title: Adding Optimization to Your Analytics Toolbox

Date: 5/14/2019

Time: 9:00 AM PDT

Duration: 60 minutes


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.

Dr. Russell Halper, Principal - End-to-End Analytics

Dr. Gwyneth Butera, Sr. Support Engineer - Gurobi Optimization

Hosted by: 
Rafael Knuth
, Contributing Editor - Data Science Central

Registering for this DSC event constitutes express written consent that DSC, its sponsors and affiliates, may use the information provided to keep you informed about offers, products and services.

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Adding Optimization to Your Analytics Toolbox
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