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Recommendation Systems with TensorFlow on GCP

Google Cloud

machine-learning   |   Advanced   |   11 Hours

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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What skills will you gain?

systems architecture

system architect

Cloud Computing

network news transfer protocol

systems architect

Tensorflow

Artificial Neural Networks

Google Cloud Platform

matrices

recommender systems