All Videos Tagged Cleansing” (Data Science Central) - Data Science Central 2019-10-22T12:14:47Z https://www.datasciencecentral.com/video/video/listTagged?tag=Cleansing%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: 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: Modern Data Science Workflows tag:www.datasciencecentral.com,2018-05-25:6448529:Video:724230 2018-05-25T02:02:46.877Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531386?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br></br> <br></br> Join us for this latest Data Science Central webinar and learn how data scientists across different… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-modern-data-science-workflows"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531386?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing advanced and predictive analytics -- the highest value part of their jobs. <br /> <br /> Join us for this latest Data Science Central webinar and learn how data scientists across different organizations have influenced and changed analysis behaviors across their companies. You will also learn helpful tips for integrating data science findings into your organization's decision making process.<br /> <br /> Speakers:<br /> <br /> Haarthi Sadasivam, Technical Product Manager -- Looker<br /> Olivia Winter, MS, Customer Advocate -- Looker<br /> Julian Winternheimer, Data Scientist -- Buffer<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central