All Videos Tagged Models” (Data Science Central) - Data Science Central 2021-03-07T09:12:28Z https://www.datasciencecentral.com/video/video/listTagged?tag=Models%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: How to Drive Python Model ROI & User Engagement tag:www.datasciencecentral.com,2020-11-12:6448529:Video:1001430 2020-11-12T23:52:56.528Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-drive-python-model-roi-user-engagement"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8155694864?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to the business end-user. The main barrier is the lack of a deployment platform that converts models into user-friendly applications. Instead of having to continue running these models… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-drive-python-model-roi-user-engagement"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8155694864?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Python is one of the most popular modeling languages in the world, and yet more than half of the time, developers fail to deliver their advanced analytics to the business end-user. The main barrier is the lack of a deployment platform that converts models into user-friendly applications. Instead of having to continue running these models yourself or relying on a patchwork of open-source platforms, we’d like to (re-)introduce you to an enterprise-ready solution that fully integrates with Python to convert your analytics into a useable, interactable form: FICO Xpress Insight.<br /> <br /> If you work with Python, don’t miss this chance to learn how to overcome all of the "last-mile” obstacles and actually generate applications that allow for what-if analyses, reporting, user management, load balancing, drag-and-drop UI creation capabilities, and more.<br /> <br /> In today’s Data Science Central webinar, we’ll show you:<br /> <br /> How to deploy a Python model in FICO Xpress Insight in 5 minutes<br /> Customization options for Python models<br /> Practical demonstrations of several common use cases<br /> <br /> Finally, data scientists and operations researchers can stop wasting time, money, and effort on advanced analytics that never get put to use—be sure to join us!<br /> <br /> Speakers:<br /> Dr. Oliver Bastert, Vice President of Product Management - FICO<br /> Dr. Johannes Mueller, Senior Optimization Modeler - FICO<br /> Dr. Vladimir Roitch, Senior Scientist - FICO<br /> <br /> Hosted by: <br /> Bill Vorhies, Editorial Contributor - Data Science Central DSC Webinar Series: How to Create Mathematical Optimization Models with Python tag:www.datasciencecentral.com,2020-04-29:6448529:Video:948616 2020-04-29T23:08:58.350Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-create-mathematical-optimization-models"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4566482083?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>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… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-create-mathematical-optimization-models"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4566482083?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />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.<br /> <br /> 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.<br /> <br /> In this latest Data Science Central webinar, we will:<br /> <br /> Discuss the motivation for using Python in mathematical optimization applications<br /> <br /> Help you understand the importance of parameterizing a mathematical optimization model<br /> Review some of the best practices for deploying mathematical optimization models in Python<br /> <br /> Speaker: <br /> Juan Orozco Guzman, Optimization Support Engineer- Gurobi Optimization<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central