7 Machine learning
This chapter covers
- Training a machine learning model
- Using Azure Machine Learning
- DevOps for machine learning
- Orchestrating machine learning pipelines
This chapter focuses on the final major workload of a data platform: machine learning (ML). ML is becoming increasingly important as more and more scenarios are supported by artificial intelligence. In this chapter, we will talk about running ML in production, reliably, and at scale. Figure 7.1 highlights our current focus area.
Figure 7.1 Running ML at scale is another major workload any data platform needs to support, along with data processing and analytics.
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