All Videos Tagged Amazon (Data Science Central) - Data Science Central 2020-08-07T02:00:36Z https://www.datasciencecentral.com/video/video/listTagged?tag=Amazon&rss=yes&xn_auth=no DSC Webinar Series: Clean Data & Accurate ML Models tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803540 2019-02-18T23:02:30.627Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-clean-data-accurate-ml-models"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136933577?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Predictive analytics can provide your organization with data insights and differentiation to rise above the competition. However, Machine learning (ML) outcomes are only as good as the data they are built upon. Getting the data ready for accurate modeling is time consuming, cumbersome, and a waste of data professionals’ skills to be polishing the… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-clean-data-accurate-ml-models"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136933577?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Predictive analytics can provide your organization with data insights and differentiation to rise above the competition. However, Machine learning (ML) outcomes are only as good as the data they are built upon. Getting the data ready for accurate modeling is time consuming, cumbersome, and a waste of data professionals’ skills to be polishing the materials they rely on while they should focus on the work that matters—creating accurate predictions that improve products, services, and organizational efficiency.<br /> <br /> In this latest Data Science Central webinar, we will see how the data preparation process can be streamlined to produce an accurate model for Amazon SageMaker. Guest speaker Kris Skrinak, Machine Learning Segment Lead from Amazon Web Services Partner Network will provide deep insights.<br /> <br /> Join this webinar and you will learn:<br /> <br /> The modern scalable and agile cloud data pipeline for analytics and ML applications<br /> What it takes to deliver accurate models leveraging Amazon SageMaker<br /> Typical data flaws and how to remediate them with Trifacta data preparation solutions<br /> End to end demo from data acquisition, cleansing to feature engineering and modeling with Trifacta &amp; Amazon SageMaker<br /> <br /> Speakers:<br /> Vijay Balasubramaniam, Sr. Partner Solutions Architect - Trifacta<br /> <br /> Kris Skrinak, Machine Learning Segment Lead – Amazon Web Services<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Revolutionize Your Data Analysis tag:www.datasciencecentral.com,2018-05-22:6448529:Video:723709 2018-05-22T20:57:53.824Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-data-analysis"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532245?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>How do you leverage the right data at the right time and then share your business-critical insights with the organization at large? Join us for this webinar and live demonstration to see how Reggie Wilkerson, Director of Enterprise Data Management at State Department Federal Credit Union (SDFCU), revolutionized his team’s tech stack to do just that.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-data-analysis"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532245?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />How do you leverage the right data at the right time and then share your business-critical insights with the organization at large? Join us for this webinar and live demonstration to see how Reggie Wilkerson, Director of Enterprise Data Management at State Department Federal Credit Union (SDFCU), revolutionized his team’s tech stack to do just that. With a combination of Alteryx, Tableau, and Amazon Web Services, Reggie and his team of three revolutionized the way they perform analysis and deliver valuable insights to the businesses. Learn how they:<br /> <br /> •  Use leading enterprise analytics technologies to abolish manual processes ripe for human error and replace them with repeatable automated processes<br /> <br /> •  Drive impactful insights quickly with flexible, secure, and always-current cloud data storage instead of legacy on-premises options<br /> <br /> •  Save money by removing and replacing outdated systems that didn’t work – and that no one used – with a tech stack that works seamlessly together for stakeholders<br /> <br /> By partnering with Slalom for best and next practices and going after easy wins to show stakeholders the value of their systems, Reggie drove a digital transformation process that rippled out beyond his team. Join this latest Data Science Central webinar to learn how a re-envisioned tech stack can help you bring together IT and Business Analysts and allow them to use the right data at the right time.<br /> <br /> Speakers:<br /> Reginald Wilkerson, Director, Enterprise Data Management -- State Dept. Federal Credit Union<br /> Phil Hetzel, Consultant -- Slalom Consulting<br /> Michael Sullivan, Solutions Engineer -- Alteryx<br /> Raman Kaler, Sr. Manager, Alliance Marketing -- Alteryx<br /> <br /> Hosted by: <br /> Bill Vorhies, Editorial Director -- Data Science Central