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In this article we look at how reinforcement learning can be used to optimize the business processes of an eCommerce warehouse.
In this article we introduce another important concept in the field of mathematics for machine learning: probability theory.
Continuing in our Mathematics for Machine Learning series, in this article we introduce an importance concept in machine learning: multivariate calculus.
In this article we introduce the first step in the mathematical foundation of machine learning: linear algebra.
In this article we review a deep reinforcement learning algorithm called the Twin Delayed DDPG model, which can be applied to continuous action spaces.
A Tensor Processing Unit (TPU) is a custom computer chip designed by Google specifically for deep learning.
