Understanding Machine Learning Algorithms

• 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.