How do neural networks work and how do they compare to other machine learning algorithms?
Neural networks are a type of machine learning algorithm that are inspired by the structure and function of the human brain. They consist of many interconnected “neurons” that process and transmit information, similar to the way that neurons in the brain do. Neural networks are trained using large amounts of data and a process called…
Reinforcement Learning
An especially promising approach to Machine Learning is reinforcement learning. The goal of reinforcement learning is to choose a course of actions that maximizes some reward. For instance, one may look for a set of trading rules that maximizes PnL after 100 trades. Unlike supervised learning (which is typically a one-step process), the model doesn’t…
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