To kick off our series of online events, we have 2 talks lined up, covering topics which should be most relevant for any Machine Learning and Data Engineering practice today.

To kick us off, Romeo Kienzler will introduce techniques for preserving privacy in Machine Learning, such as federated learning and homomorphic encryption.

Romeo's talk will be followed up by Ryan Murray, who'll be addressing the challenges (and best practices) involved in building data lakes in the cloud using storage layers such as S3 and ADSL.

Should not be missed!
#GlobalDataScience

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