Learn to Use Databricks for the Full ML Lifecycle
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Learn to Use Databricks for the Full ML Lifecycle
Machine learning development brings many new complexities beyond the traditional software development lifecycle. Unlike traditional software development, ML developers want to try multiple algorithms, tools and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many ...
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