Machine learning / Artificial intelligence with AWS

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18.00 – Introduction - Matthias Imsand

18.05 – Machine Learning Concepts and AWS Instruments - Juan Osorio

- Introduction to ML: a very brief overview of basic machine learning concepts
- ML/AI AWS services: a summary of all major AWS ML/AI services and a more in-depth view/demo employing the following services (Amazon Glue, Athena, Sagemaker)
- Sample application: unsupervised machine learning using Apache Spark on Amazon Glue
- Sample application: ML-powered demand forecasting from historical data

19.00 - Data Science @ Doodle - Ethan Brown, Data Science Lead
- Data inside Doodle is used to constantly track KPIs, improve products as well as inform product decisions. During this talk the Doodle data pipeline will be discussed along with the tools used for each purpose, and how data-driven products are developed and deployed.

19.20 – Discussion - all

19.30 – Apero - sponsored by Digicomp