All Videos Tagged Programming” (Data Science Central) - Data Science Central 2020-07-12T10:12:23Z https://www.datasciencecentral.com/video/video/listTagged?tag=Programming%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Adding Optimization to Your Analytics Toolbox tag:www.datasciencecentral.com,2019-05-14:6448529:Video:825328 2019-05-14T23:19:12.188Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-adding-optimization-to-your-analytics-toolbox"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2546416584?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>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… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-adding-optimization-to-your-analytics-toolbox"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2546416584?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />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.<br /> <br /> In this latest Data Science Central webinar, you will learn:<br /> <br /> The basics of optimization and MIP<br /> How to identify optimization problems within your organization<br /> When to use MIP vs Artificial Intelligence (AI) when developing a prescriptive analytics solution for your business problem<br /> How MIP can be used as a complementary technique to Machine Learning<br /> 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.<br /> <br /> Speakers:<br /> Dr. Russell Halper, Principal - End-to-End Analytics<br /> Dr. Gwyneth Butera, Sr. Support Engineer - Gurobi Optimization<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central