Introducing MLflow for End-to-End Machine Learning on Databricks
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Introducing MLflow for End-to-End Machine Learning on Databricks
Solving a data science problem is about more than making a model. It entails data cleaning, exploration, modeling and tuning, production deployment, and workflows governing each of these steps. In this simple example, we’ll take a look at how health data can be used to predict life expectancy. It will start with data engineering in Apache ...
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One of the world’s most valuable private tech companies is raising billions more in cash and is in no rush to go public, sources told #CNBC. San Francisco-based #Databricks is raising at least another $5 billion in its latest funding round — though it could raise up to $8 billion given the round is ongoing — according to several sources who asked not to be named because the discussions were private. The latest raise would value the company at $55 billion and could top the largest round of the ye
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