What Is on Earth: A Big Data Problem (Cloud Next '19)

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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.

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Speaker(s): Torry Yang, David Cavazos, Shahin Saadati, Christopher Brown

Session ID: DZ222
product: Cloud - General; fullname: Torry Yang, David Cavazos, Shahin Saadati, Christopher Brown; event: Google Cloud Next 2019;
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Hi there I'm very interested in in data science and I do know programming to an intermediate level how can I learn data science at home cause I have great opportunities lying ahead of me in my country.
I need practical advice

noorulislam