All Videos Tagged Time (Data Science Central) - Data Science Central 2021-06-13T10:32:24Z https://www.datasciencecentral.com/video/video/listTagged?tag=Time&rss=yes&xn_auth=no DSC Webinar Series: How a Physics-Driven Analytics Platform Detects Reliability Threats tag:www.datasciencecentral.com,2020-02-26:6448529:Video:934284 2020-02-26T23:57:18.838Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-a-physics-driven-analytics-platform"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3939874431?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-a-physics-driven-analytics-platform"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3939874431?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose a time series database for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.<br /> <br /> During this latest Data Science Central webinar in association with IoTCentral, learn how using a purpose-built time series database helps to continuously optimize reliability of their customers’ connected mechanical systems.<br /> <br /> <br /> Speaker:<br /> Jon Herlocker, President and CEO - Tignis<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Forecasting: Prophet & Time Series Database tag:www.datasciencecentral.com,2020-02-26:6448529:Video:934191 2020-02-26T00:44:56.367Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-forecasting-prophet-time-series-database"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3930571832?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data collection is only half of the battle. The other half is being able to easily perform data analysis. FB Prophet aims to make time series forecasting simple and fast. In this latest Data Science Central webinar, we’ll learn how to make a univariate time series prediction with Prophet and a time series database.<br></br> <br></br> Speaker:… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-forecasting-prophet-time-series-database"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3930571832?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data collection is only half of the battle. The other half is being able to easily perform data analysis. FB Prophet aims to make time series forecasting simple and fast. In this latest Data Science Central webinar, we’ll learn how to make a univariate time series prediction with Prophet and a time series database.<br /> <br /> Speaker:<br /> Anais Dotis-Georgiou, Developer Advocate - InfluxData<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Enterprise-ready Data Science and ML with Python tag:www.datasciencecentral.com,2019-11-19:6448529:Video:909443 2019-11-19T23:49:48.055Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-enterprise-ready-data-science-and-ml-with"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3720869848?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Many Data Scientists spend much of their time on laptops, working with familiar tools like Jupyter and Conda, on data that fits on their machine.<br></br> <br></br> In this latest Data Science Central webinar we will discuss a laptop-like experience for Data Science and Machine Learning, supporting the same tools and workflows you have become… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-enterprise-ready-data-science-and-ml-with"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3720869848?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Many Data Scientists spend much of their time on laptops, working with familiar tools like Jupyter and Conda, on data that fits on their machine.<br /> <br /> In this latest Data Science Central webinar we will discuss a laptop-like experience for Data Science and Machine Learning, supporting the same tools and workflows you have become accustomed to. We will highlight how Databricks augments that experience with collaborative features like co-editing and commenting, as well as enterprise-level security, scalability, and reliability.<br /> <br /> Speaker:<br /> Clemens Mewald, Director of Product Management, Machine Learning and Data Science - Databricks<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: How to Use Time Series Data to Forecast at Scale tag:www.datasciencecentral.com,2019-09-12:6448529:Video:887298 2019-09-12T20:55:33.580Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-use-time-series-data-to-forecast-at"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3553482484?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The growing popularity of sensor networks and telemetry applications has lead to the collection of a vast amount of time series data, which enables forecasting for a multitude of use cases from application performance optimization to workload anomaly detection. The challenge is to automate a historically manual process handcrafted for the… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-to-use-time-series-data-to-forecast-at"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3553482484?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The growing popularity of sensor networks and telemetry applications has lead to the collection of a vast amount of time series data, which enables forecasting for a multitude of use cases from application performance optimization to workload anomaly detection. The challenge is to automate a historically manual process handcrafted for the analysis of a single data series of just tens of data points to large scale processing of thousands of time series and millions of data points.<br /> <br /> In this latest Data Science Central webinar, we will demonstrate how to leverage InfluxDB to implement some solutions to tackle on the issues of time series forecasting at scale, including continuous accuracy evaluation and algorithm hyperparameters optimization. As a real world use case, we will discuss the storage forecasting implementation in Veritas Predictive Insights which is capable of training, evaluating and forecasting over 70,000 time series daily.<br /> <br /> Speaker:<br /> Marcello Tomasini, Sr. Data Scientist - Veritas Technologies<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central NumXL 1.6 overview tag:www.datasciencecentral.com,2013-06-14:6448529:Video:78001 2013-06-14T21:42:30.438Z Mohamad EL-Bawab https://www.datasciencecentral.com/profile/MohamadELBawab <a href="https://www.datasciencecentral.com/video/numxl-1-6-overview"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781528470?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />NumXL 1.6 offers various simple tools for conducting complicated statistical analysis in Microsoft Excel. The new version supports principal component analys... <a href="https://www.datasciencecentral.com/video/numxl-1-6-overview"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781528470?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />NumXL 1.6 offers various simple tools for conducting complicated statistical analysis in Microsoft Excel. The new version supports principal component analys...