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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.
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
