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Artificial Intelligence and Big Data Sciences

Dec 30, 2018 · Fremont, United States of America

These meetups are for general big data sciences, machine learning, mathematical models, IoT (Internet of Things) applications, ICT (Information and Communication Technologies) applications, genome re-sequencing on Hadoop clusters and No-sql databases. Industry experts provide hands-on sessions on general machine learning techniques, IoT, ICT, genome analysis along with statistical analysis in graph databases and other no-SQL databases. Students (future data scientists) from High Schools / Colleges / Universities are welcome to join "hands-on sessions" and give "short talks" on IoT, ICT, genomics and topics related to data sciences. One parent is allowed with each high school or college student. Attendees for hands-on sessions should bring laptops with Java6 or Java7 and must have Amazon EC2, Amazon EMR and Amazon S3 accounts.

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  • Big Data Science

    There are demands for good mathematicians to write algorithms that can churn through billions or trillions of data points and show where patterns emerge. The Economist data issue raised this issue as follows: "During the recent financial crisis it became clear that banks and rating agencies had been relying on models which, although they required a vast amount of information to be fed in, failed to reflect financial risk in the real world. This was the first crisis to be sparked by big data—and there will

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