All Videos Tagged SAS (Data Science Central) - Data Science Central 2020-10-24T15:53:49Z https://www.datasciencecentral.com/video/video/listTagged?tag=SAS&rss=yes&xn_auth=no DSC Webinar Series: ML/AI Models: Continuous Integration & Deployment tag:www.datasciencecentral.com,2019-12-11:6448529:Video:914196 2019-12-11T23:49:08.649Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-ai-models-continuous-integration-deployme-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3765904026?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to support moving data science from research into operations. It all begins with repeatable data wrangling processes that support building and deploying models. It also… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-ai-models-continuous-integration-deployme-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3765904026?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to support moving data science from research into operations. It all begins with repeatable data wrangling processes that support building and deploying models. It also requires collaboration between data scientists, engineers and business analysts. With the help of tools like SAS® Model Manager, these teams can continuously and automatically train models at scale and ensure the best models are put into production.<br /> <br /> In this latest Data Science Central webinar we will discuss:<br /> <br /> Model validation best practices<br /> Various model deployment options including open source models<br /> Model scoring and training services<br /> Model performance monitoring<br /> Orchestrating a continuous learning platform<br /> <br /> <br /> Speakers:<br /> Wayne Thompson, Chief Data Scientist - SAS<br /> Lora Edwards, Principal Product Manager - SAS<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central Advanced Tool for Dynamic Visual Analytics tag:www.datasciencecentral.com,2017-12-02:6448529:Video:660015 2017-12-02T18:37:53.378Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/advanced-tool-for-dynamic-visual-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532133?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>As you journey through the age of self-service analytics it’s important to understand and explore your data in impactful new ways. There are critical drivers for making better decisions – can you see them? Why did something happen? Have you examined all options and uncovered opportunities hidden deep in your data?<br></br> <br></br> Join us for this Data Science… <a href="https://www.datasciencecentral.com/video/advanced-tool-for-dynamic-visual-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532133?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />As you journey through the age of self-service analytics it’s important to understand and explore your data in impactful new ways. There are critical drivers for making better decisions – can you see them? Why did something happen? Have you examined all options and uncovered opportunities hidden deep in your data?<br /> <br /> Join us for this Data Science Central webinar to uncover new data visualizations by SAS® – including third party customized ones, a refined user experience to improve productivity, self-service data preparation, and the power of location analytics to visualize data in new contexts. These enhancements will highlight and provide understanding for key relationships, outliers, clusters and more, revealing vital insights that inspire action<br /> <br /> Speakers:<br /> <br /> Tapan Patel, Principal Product Marketing Manager, Business Intelligence and Analytics -- SAS<br /> Steve Mellgren, Senior Solutions Architect, Business Visualization Practice -- SAS<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central