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Five data science tips so you can find insights faster

December 2020
It’s no surprise that tech startups depend on data science. At the Cloud Native Computing Foundation’s KubeCon conference on November 18, 2020, many presenters revealed complicated pipelines created to manage machine learning at companies such as Snapchat and Shell. Increasingly, there’s talk of hiring data engineers and using MLOps (machine learning operations techniques similar to DevOps) to keep those insights humming in the cloud.

Data science doesn’t have to be this complex, however. As demonstrated by several talks at Oracle’s Make Machine Learning Work for You event, also held on November 18, it’s easier than ever to discover valuable insights in your data. Here are five road-tested techniques to get started with powerful platforms and open source tools.

And looking ahead, as January approaches, what predictions do you have for 2021? Write me with your thoughts.

Alexandra Weber Morales, Oracle Director of Developer Content
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