If you have a lot of data you want to gain insight on, so does the scientific community as it attempts to produce a land cover map of Earth. An endeavor that requires planet-scale machine learning, the National Geographic Society is collaborating with Google to find a solution using Google Earth Engine and Cloud AI. In this session, you’ll learn how App Engine, Pub/Sub, Dataflow, TensorFlow, Kubeflow and ML Engine can be used together to form an end-to-end pipeline that creates value out of raw data.
What Is On Earth → http://bit.ly/2VNOZ6u
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions
Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform
Speaker(s): Torry Yang, David Cavazos, Shahin Saadati, Christopher Brown
Session ID: DZ222
fullname:David Cavazos,Christopher Brown;
Publisher: Google Cloud
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