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Advanced Machine Learning (ML) has become increasingly important for personalization software, as it takes inputs from its environment and uses them to improve its performance. Advanced ML can be broken down into two categories: deep learning and reinforcement learning. Deep learning layers neural networks to filter results, while reinforcement learning uses one neural network layer to make decisions. Both of these methods are much more efficient than classical ML, which requires a human team to oversee the input of data and guide the learning algorithm.
