3 Questions
What is the primary purpose of machine learning algorithms?
To solve tasks without programming
What is the assumption that machine learning algorithms are based on?
That past performance is a good indicator of future performance
What is one way to use machine learning?
To improve existing algorithms
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.
Test your knowledge of machine learning algorithms and their ability to learn from past experiences to improve performance. Explore the concepts of leveraging past data, implicit programming, and algorithm enhancement.
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