Knowing how to build a recommendation engine is an important milestone in a data scientist’s education. After all, recommendation engines power the hugely useful and profitable recommendation functionality of the e-commerce marketplace. Indeed, odds are you and your family have encountered something like the “Shopping for a new laptop? Here’s what people like you have bought in the past” scenario and benefited greatly.

Now, whether you are planning to join an e-commerce business as a data scientist or studying towards a Master’s degree in data science, knowing how to build a recommendation engine will open doors for you and certainly be something you end up doing. To help you onboard as quickly as possible, then, this guide is going to introduce you to some of the most useful concepts you can learn to quickly construct a recommendation engine using TensorFlow.

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