All Videos Tagged Insight” (Data Science Central) - Data Science Central 2020-04-10T00:31:49Z https://www.datasciencecentral.com/video/video/listTagged?tag=Insight%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation tag:www.datasciencecentral.com,2019-05-09:6448529:Video:823983 2019-05-09T22:22:03.710Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an impact on its rating.<br /> <br /> We will also discuss what to keep in mind in terms of data preparation as we work towards developing a training dataset; making sure that the data preparation is repeatable, that all team members understand the process (to ensure buy-in), and that additional information can be created from the data available. You’ll learn how Rapid Insight’s Veera platform makes all of this easy, saving time and resources.<br /> <br /> Key highlights include:<br /> <br /> Democratizing the data, or creating a process that most people would be able to follow, regardless of professional background or industry<br /> Ensuring buy-in because it helps you communicate to everyone in the organization about the model and data preparation<br /> Creating a repeatable and schedulable workflow for data preparation<br /> Predicting movie ratings and looking at what type of reviews a movie pitch might get<br /> <br /> Speakers:<br /> Jon MacMillan, Senior Data Analyst - Rapid Insight<br /> Alex Herbert, Sales Manager - Rapid Insight<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Creating Business Applications With R & Python tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803383 2019-02-18T22:50:07.055Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-creating-business-applications-with-r-python"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136748148?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never reach their intended business users. The result is wasted time and effort, as well as a failure to achieve the fundamental goal of transforming data and analytics into… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-creating-business-applications-with-r-python"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136748148?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never reach their intended business users. The result is wasted time and effort, as well as a failure to achieve the fundamental goal of transforming data and analytics into solutions.<br /> <br /> Please join this latest Data Science Central webinar to see how data science teams can stop this trend and start putting analytics into action. With FICO® Xpress Insight, it's easy to take any advanced analytic asset (such as an R or Python script) and turn it into a fully functioning application for business users. We'll demonstrate some key features, including:<br /> <br /> An environment that fosters collaboration between data scientists and business users during model creation<br /> A robust interface for rapidly deploying validated models into business user-friendly applications<br /> Enablement tools for business users to run models, perform simulations, compare scenarios and visualize outcomes<br /> Data scientists can finally stop seeing their efforts go to waste and start empowering business users with the predictive and prescriptive analytics capable of transforming businesses–join us to learn more!<br /> <br /> Speakers:<br /> Bill Doyle, VP of Decision Management Solutions - FICO<br /> Libin Varghese, Principal Sales Consultant, Decision Management Solutions - FICO<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central