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: | 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: | ||
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# | # Supervised Learning | ||
# | # Unsupervised Learning | ||
# Reinforcement learning | |||
Revision as of 06:00, 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:
- Supervised Learning
- Unsupervised Learning
- Reinforcement learning