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Machine Learning Engineering in Action

The most difficult part of machine learning is not developing models but deploying them at scale in production. This eBook provides a step-by-step guide to take machine learning projects from planning to production successfully.

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Automating the ML Lifecycle With Databricks Machine Learning

Learn how to accelerate machine learning projects from concept to production with automation across data engineering, model building and model deployment

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Discover how Databricks’ open and unified data analytics platform performs large-scale data processing for batch and streaming workloads, simplifies and accelerates data science on large data sets, and standardizes the entire ML lifecycle.

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An open and unified data analytics platform for data engineering, machine learning and analytics