All Videos Tagged Lee” (Data Science Central) - Data Science Central 2021-09-20T18:07:15Z https://www.datasciencecentral.com/video/video/listTagged?tag=Lee%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Knowledge Graph and Machine Learning: 3 Key Business Needs, One Platform tag:www.datasciencecentral.com,2020-12-16:6448529:Video:1005272 2020-12-16T23:50:02.749Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-knowledge-graph-and-machine-learning-3-key"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8296078877?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-knowledge-graph-and-machine-learning-3-key"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8296078877?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The COVID-19 pandemic has accelerated the pace of digital transformation across all industries. Organizations are looking for ways to accelerate their analytics, AI and machine learning projects to increase revenue, manage risks and improve customer experience especially for online channels. Knowledge Graphs combined with machine learning are driving three key data science capabilities to deliver the business outcomes organizations need:<br /> <br /> Connect internal and external datasets and pipelines with a distributed Graph Database - UnitedHealth Group is connecting 200+ sources to deliver a real-time customer 360 to improve quality of care for 50 million members and deliver call center efficiencies.  Xandr (part of AT&amp;T) is connecting multiple data pipelines to build an identity graph for entity resolution to power the next-generation AdTech platform.<br /> <br /> Analyze connected data for never-before insights with Advanced Analytics - Jaguar Land Rover has accelerated supply chain planning from three weeks to 45 minutes, reduced supplier risk by 35% and is driving three times the business value from the data.<br /> Learn from the connected data with In-Database Machine Learning - Intuit has built an AI-based customer 360 with in-database machine learning for entity resolution, personalized recommendations and fraud detection. Knowledge graph combined with machine learning is central to Intuit’s transformation into an AI-driven expert platform.<br /> Join us for this latest Data Science Central webinar as we share design considerations and deployment best practices from these case studies by combining knowledge graphs with machine learning. <br /> <br /> Speaker: <br /> Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph<br /> <br /> Hosted by: <br /> Kurt Cagle, Community Editor - Data Science Central DSC Webinar Series: Cloud Data Warehouse Automation at Greenpeace International tag:www.datasciencecentral.com,2020-12-10:6448529:Video:1004790 2020-12-10T23:41:56.707Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-cloud-data-warehouse-automation-at-greenpeace"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/8271559895?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The cornerstone of fleet management is maritime reports, which record everything that has happened onboard any given ship in the past 24 hours. The difficulty of quickly analyzing these reports is that each captain sends different data, resulting in a complex mixture of Excel, Google Sheets and applications accessible via APIs. …<br></br> <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-cloud-data-warehouse-automation-at-greenpeace"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/8271559895?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The cornerstone of fleet management is maritime reports, which record everything that has happened onboard any given ship in the past 24 hours. The difficulty of quickly analyzing these reports is that each captain sends different data, resulting in a complex mixture of Excel, Google Sheets and applications accessible via APIs. <br /> <br /> The solution? An end-to-end automated cloud data warehouse that allows Greenpeace to ingest its maritime reports, quickly prepare them, and publish the results out in a simple consumable format. Torbjorn Zetterlund, Digital Innovation Manager at Greenpeace International, manages the entire process single-handedly. Despite the complexity of the data problem at hand, Zetterlund has been able to leverage this solution to vastly improve the speed and accuracy of mission-critical reporting. <br /> <br /> In this latest Data Science Central webinar, you will learn from an experienced practitioner on:<br /> <br /> Best practices for building an end-to-end cloud data warehouse (data collection, data preparation and reporting)<br /> How to turn disparate and inconsistent data into clean and normalized data that’s ready for reporting<br /> How to automate a data pipeline (from connected and disconnected sources) and manage the unexpected<br /> How to deliver a solution in record time with a one-man team<br /> Speakers:<br /> Bertrand Cariou, Sr. Director Product - Trifacta <br /> Torbjorn Zetterlund, Digital Innovation Manager - Greenpeace International<br /> <br /> Hosted by:<br /> Sean Welch, Host &amp; Producer - Data Science Central DSC Webinar Series: Graph Algorithms Combined with ML are Saving the World tag:www.datasciencecentral.com,2020-04-30:6448529:Video:948778 2020-04-30T22:44:41.875Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-graph-algorithms-combined-with-ml-are-saving"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4600406261?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Graph algorithms such as PageRank, community detection and similarity matching have moved from the classroom to the data scientist's and business analyst's toolkit. Organizations are gaining actionable insights by connecting and analyzing their data. <br></br> <br></br> Machine learning is an essential approach for getting the most insight out of… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-graph-algorithms-combined-with-ml-are-saving"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4600406261?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Graph algorithms such as PageRank, community detection and similarity matching have moved from the classroom to the data scientist's and business analyst's toolkit. Organizations are gaining actionable insights by connecting and analyzing their data. <br /> <br /> Machine learning is an essential approach for getting the most insight out of your data. Machine learning enables data scientists and business users to scale their analysis and, when used in combination with graph algorithms, provides unprecedented insights that can have significant real-world impact.<br /> <br /> In this latest Data Science Central webinar, we will:<br /> <br /> Describe the five categories of graph algorithms: Shortest Path, Centrality, Community Detection, Similarity, and Classification;<br /> Explain how graphs provide an intuitive data model to improve the accuracy of supervised machine learning with new training data &amp; power explainable AI;<br /> Examine how in-database machine learning such as deep learning, community detection, and low rank approximation is possible with scalable native graph databases;<br /> Demonstrate how modern graph analytics tools can provide no-code data import, querying, feature extraction, and ML training.<br /> <br /> We will cover use cases and case studies for graph analytics and machine learning that include real-time fraud detection at four of the top five global banks, personalized offers for 300 million consumers and care path recommendations to improve the well being of 50 million patients. We will also share open source community initiatives that are leveraging graph analytics to analyze COVID-19 data.<br /> <br /> Speakers:<br /> Dr. Victor Lee, Head of Product Strategy and Developer Relations - TigerGraph<br /> Emma Liu, Senior Product Manager - TigerGraph<br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Applying Convolutional Neural Networks with TensorFlow tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803388 2019-02-18T22:57:13.644Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-applying-convolutional-neural-networks-with"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136854572?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network.<br></br> <br></br> All these concepts… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-applying-convolutional-neural-networks-with"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136854572?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />In this latest Data Science Central Deep Learning Fundamentals Series webinar, we will cover the fundamentals behind TensorFlow and how to apply them within a convolutional neural network (CNN) example. The principles we will cover include CNN concepts and their impact to the accuracy and loss of your network.<br /> <br /> All these concepts will be brought to life by demonstrating how Databricks simplifies deep learning - letting you quickly access ready-to-use ML environments, as well as prepare data, and train models faster. After this session, if requested, you will receive the presentation and associated notebooks so you can run the samples yourself.<br /> <br /> Speaker:<br /> Denny Lee, Technical Product Manager - Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Deep Learning - Introduction to Neural Networks tag:www.datasciencecentral.com,2018-11-13:6448529:Video:777728 2018-11-13T22:51:46.197Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-deep-learning-introduction-to-neural-networks"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532553?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences between popular Deep Learning frameworks like Keras or TensorFlow, and where should you start?<br></br> <br></br> In this latest Data Science Central webinar, we will show the relationship between… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-deep-learning-introduction-to-neural-networks"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532553?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences between popular Deep Learning frameworks like Keras or TensorFlow, and where should you start?<br /> <br /> In this latest Data Science Central webinar, we will show the relationship between neural networks and simpler ML models, and provide an understanding of what gives neural networks their expressive power.<br /> <br /> We will bring these concepts to life and demonstrate how Databricks simplifies deep learning by letting you quickly access ready to use ML environments as well as prepare data, and train models faster.<br /> <br /> After this session, we’ll arm you with the tools you need to run the samples yourself. Attendees will have access to presentations and associated Databricks notebooks.<br /> <br /> Speaker:<br /> Denny Lee, Technical Product Manager - Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central