Difference between revisions of "Machine Learning"

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As Prof. Lazarus has presented, there is 3 main kinds of algorithms typically used to accomplished machine learning, which you might use to process your data; depending on which phase your are in or what you hope to accomplish you might end up using all these options:
As Prof. Lazarus has presented, there is 3 main kinds of algorithms typically used to accomplished machine learning, which you might use to process your data; depending on which phase your are in or what you hope to accomplish you might end up using all these options:


# ((Supervised learning))
# [[Supervised learning]]
# ((Unsupervised learning))
# [[Unsupervised learning]]
# ((Reinforcement learning))
# [[Reinforcement learning]]

Revision as of 06:02, 6 June 2021

Machine Learning
Term Machine Learning
Knowledge Domain Computing Science, Artificial Intelligence
Parent Domain Cognitive Science

Machine Learning is a field derived from Computing Science.

The Alan Turing Internet Scrapbook

All computation or decision-making processes can be considered as a scientific approximation of real-world events in spacetime. The notion of Abstract Interpretation (AI), also known as a field of to efficiently approximate decision/computational procedures. Clearly, this is different from Artificial Intelligence, also abbreviate as AI.

{{#ev:youtube|https://www.youtube.com/watch?v=wGswp5A0jkQ%7C%7C%7C%7C%7C}}

As Prof. Lazarus has presented, there is 3 main kinds of algorithms typically used to accomplished machine learning, which you might use to process your data; depending on which phase your are in or what you hope to accomplish you might end up using all these options:

  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning