Coursera – Recommendation Systems with TensorFlow on GCP
English | Size: 715MB
Category: Tutorial
In this course, you’ll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
• Devise a content-based recommendation engine
• Implement a collaborative filtering recommendation engine
• Build a hybrid recommendation engine with user and content embeddings
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