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Machine Learning

By November 23, 2022November 26th, 2022No Comments

Machine learning is a subset of artificial intelligence that deals with the design and development of algorithms that can learn from and make predictions on data. Machine learning algorithms are used in a variety of applications, such as email filtering and computer vision.

There are three main types of machine learning: supervised, unsupervised, and reinforcement learning.

  1. Supervised learning is where the algorithm is given a set of training data that includes the correct answers. The algorithm then learns to generalize from this data so that it can correctly predict the output for new data points.
  2. Unsupervised learning is where the algorithm is given only input data without any corresponding output labels. The algorithm must learn to find structure in this data itself to make predictions about new data points.
  3. Reinforcement learning is where an agent interacts with its environment by taking actions and receiving rewards or punishments based on these actions.

The goal for the agent is to maximize its cumulative reward over time by choosing actions that lead it toward states with higher rewards.

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