In this module, we review the scope and plan for the course, define what recommendation systems are, review the different types of recommendation systems and discuss common problems that arise when developing recommendation systems.
In this module, we show how the data of the interactions between users and items from many different users can be combined to improve the quality of predictions.
AĀ Professional Machine Learning EngineerĀ designs, builds, and productionizes ML
models to solve business challenges using Google Cloud technologies and
knowledge of proven ML models and techniques. The ML Engineer is proficient in all
aspects of model architecture, data pipeline interaction, and metrics interpretation
and needs familiarity with application development, infrastructure management,
data engineering, and security.
Reviews
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