SageMaker Fridays: Build, Train, and Deploy ML Models Using Geospatial Data- AWS Virtual Workshop

Today, the majority of all data generated contains geospatial information, but only a small fraction of it is used for ML because accessing, processing, and visualizing the data is complex, time consuming, and expensive. With Amazon SageMaker’s new geospatial capabilities, you can access readily available geospatial data sources, easily process large-scale geospatial datasets with purpose-built operations, accelerate model building with pretrained ML models, and use rich visualization tools to explore predictions on an interactive map. Join us for an interactive demo and learn how to make faster and smarter decisions using the power of geospatial data. Learning Objectives: * Objective 1: Learn how to accelerate model building with built-in ML models, pretrained for the most common geospatial use cases. * Objective 2: Discover how to efficiently process or enrich large-scale geospatial datasets * Objective 3: Understand how to analyze and explore model predictions on an interactive map ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/geospatial/ To download the slides visit: https://pages.awscloud.com/rs/112-TZM-766/images/2023_0317-VW-MCL_Slide-Deck.pdf Subscribe to AWS Developers: https://www.youtube.com/@AWSDevelopers?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS