Understanding Machine Learning Algorithms

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Questions and Answers

What is the primary purpose of machine learning algorithms?

  • To predict the future
  • To solve tasks without programming (correct)
  • To improve existing algorithms
  • To understand the likelihood of certain species existing

What is the assumption that machine learning algorithms are based on?

  • That the sun always rises
  • That the future can be predicted
  • That past performance is a good indicator of future performance (correct)
  • That certain species will always exist

What is one way to use machine learning?

  • To predict the future
  • To solve tasks without programming
  • To improve existing algorithms (correct)
  • To understand the likelihood of certain species existing

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Study Notes

  • Machine learning algorithms work on the assumption that past performance is a good indicator of future performance.
  • This assumption can be based on obvious things, like the sun always rising, or more nuanced things, like the likelihood of a certain species existing.
  • Machine learning algorithms can be taught to do tasks without needing to be explicitly programmed, using data from past experiences.
  • One approach to using machine learning is to use it to improve the algorithms that are used to solve a task.

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