All Videos Tagged "Machine (Data Science Central) - Data Science Central 2019-12-09T14:45:18Z https://www.datasciencecentral.com/video/video/listTagged?tag=%22Machine&rss=yes&xn_auth=no DSC Webinar Series: ML vs Holt-Winters Forecasting tag:www.datasciencecentral.com,2019-07-25:6448529:Video:860979 2019-07-25T21:42:33.082Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-vs-holt-winters-forecasting"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3384820343?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this latest Data Science Central webinar, Developer Advocate Anais Dotis-Georgiou will show you how the Holt-Winters forecasting algorithm works. Then we’ll use the HOLT_WINTERS() function with InfluxData to make our… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-ml-vs-holt-winters-forecasting"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3384820343?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Machine Learning is all the rage, but when does it make sense to use it for forecasting? How do statistical forecasting methods compare? In this latest Data Science Central webinar, Developer Advocate Anais Dotis-Georgiou will show you how the Holt-Winters forecasting algorithm works. Then we’ll use the HOLT_WINTERS() function with InfluxData to make our own time series forecast.<br /> <br /> Speaker:<br /> Anais Dotis-Georgiou, Developer Advocate - InfluxData<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Maximizing Data Science Applications and Model Development tag:www.datasciencecentral.com,2019-07-24:6448529:Video:860410 2019-07-24T21:38:24.636Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-maximizing-data-science-applications-and-model"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3381615540?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this latest Data Science Central webinar, you will learn the value of an optimized workstation for data scientists. We will demonstrate NVIDIA CUDA-X AI software stack and how it has enhanced data science workflows.<br></br> <br></br> Speakers:<br></br> Tim Lawrence, Founder and VP of Engineering and Operations - BOXX Technologies<br></br> Allen… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-maximizing-data-science-applications-and-model"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3381615540?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this latest Data Science Central webinar, you will learn the value of an optimized workstation for data scientists. We will demonstrate NVIDIA CUDA-X AI software stack and how it has enhanced data science workflows.<br /> <br /> Speakers:<br /> Tim Lawrence, Founder and VP of Engineering and Operations - BOXX Technologies<br /> Allen Bourgoyne, Senior Product Marketing Manager, Quadro - NVIDIA<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Making AI Work in the Real World: How Real Companies Get Real Value with AI tag:www.datasciencecentral.com,2019-07-02:6448529:Video:850987 2019-07-02T16:16:14.793Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br></br> <br></br> In this latest Data Science Central webinar, Alyssa… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3181882056?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br /> <br /> In this latest Data Science Central webinar, Alyssa Simpson Rochwerger of Figure Eight takes an industry-by-industry perspective on true AI adoption.<br /> <br /> We will cover:<br /> <br /> An approach to AI that realizes business value<br /> Real-world examples of businesses using AI to improve their bottom line<br /> Real-world use cases in e-commerce, enterprise software, robotics &amp; IoT, AgTech, and more<br /> <br /> <br /> We will separate the hype from the reality, the theoretical from the practical, and the research labs from ROI.<br /> <br /> <br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP of Product - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Making AI Work in the Real World: How Real Companies Get Real Value with AI tag:www.datasciencecentral.com,2019-03-12:6448529:Video:809082 2019-03-12T20:29:00.025Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/1392344430?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br></br> <br></br> In this latest Data Science Central webinar, Alyssa… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-making-ai-work-in-the-real-world-how-real-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1392344430?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing is, a lot of those articles are light on detail or focus too heavily on algorithms and not on business value.<br /> <br /> In this latest Data Science Central webinar, Alyssa Simpson Rochwerger of Figure Eight takes an industry-by-industry perspective on true AI adoption.<br /> <br /> We will cover:<br /> <br /> An approach to AI that realizes business value<br /> Real-world examples of businesses using AI to improve their bottom line<br /> Real-world use cases in e-commerce, enterprise software, robotics &amp; IoT, AgTech, and more<br /> <br /> We will separate the hype from the reality, the theoretical from the practical, and the research labs from ROI.<br /> <br /> Speaker:<br /> Alyssa Simpson Rochwerger, VP of Product - Figure Eight<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Data Prep & Automated ML: Better Predictions for Consensus tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803474 2019-02-18T22:58:14.477Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-automated-ml-better-predictions-for"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136869624?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens.<br></br> <br></br> In this latest Data Science Central webinar, you… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-prep-automated-ml-better-predictions-for"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136869624?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Financed smartphones are a magnet for identity theft, leaving retailers in the digital and telecommunication industry vulnerable to fraud. Consensus, a Target-owned subsidiary, has developed a highly accurate solution to identify fraud at the point-of-sale before it happens.<br /> <br /> In this latest Data Science Central webinar, you will learn how Consensus put together agile processes on a cloud analytic solution leveraging Trifacta data preparation and DataRobot automated machine learning to prevent fraud.<br /> <br /> Attendees will learn:<br /> <br /> • How Consensus developed an AWS cloud-based solution<br /> • The role of data preparation in supplying accurate data for machine learning models<br /> • How automated machine learning can drive more accurate predictions<br /> • Consensus’s time-saving ROI from building models, deploying them on AWS, and the improvement in accuracy and recall<br /> <br /> Speakers:<br /> David McNamara, Lead Product Specialist - Trifacta<br /> Harrison Lynch, Sr. Director of PM - Consensus Corporation<br /> Rajiv Shah, Data Scientist - DataRobot<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central