Difference between revisions of "Machine Learning"

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# [[Supervised learning]]
# [[Supervised learning]]
## Regression
## Classification
# [[Unsupervised learning]]
# [[Unsupervised learning]]
## Clustering
## Anomaly Detection
## Compression
# [[Reinforcement learning]]
# [[Reinforcement learning]]
## Model Free
## Model Based
## Transfer Learning


[[Category:Technical Term]]
[[Category:Technical Term]]

Revision as of 06:16, 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
    1. Regression
    2. Classification
  2. Unsupervised learning
    1. Clustering
    2. Anomaly Detection
    3. Compression
  3. Reinforcement learning
    1. Model Free
    2. Model Based
    3. Transfer Learning