Netflix consistently employs a simple but powerful approach to product innovation: they ask their members, through online experiments, which of several possible experiences resonate with them.
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Recommendation algorithms are at the core of the Netflix product. They provide members with personalized suggestions to reduce the amount of time and frustration to find something great content to watch.
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Netflix has been a data-driven company since its inception. Their analytic work arms decision-makers around the company with useful metrics, insights, predictions, and analytic tools so that everyone can be stellar in their function.
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In practice, large-scale applied Machine Learning (ML) requires substantial infrastructure and systems engineering investment. Learn about scaling machine learning in heterogeneous language environments across several domains and at all stages of a project’s lifecycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment.
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