Abstract
Machine learning (ML) is a game-changer because it lets computers learn on their own from experience, instead of us telling them every single rule. Basically, ML tries to figure out a smart way to turn raw information (like a picture) into the right answer (like "this is a cat"). A big part of this is finding the most important bits of information, called "features" (like a cat's pointy ears or whiskers). What's really cool is that a newer part of ML, called representation learning, helps computers automatically discover these important features, so we don't have to painstakingly find them ourselves.
References
[1] https://www.researchgate.net
[2] https://www.science.org
[3] https://link.springer.com
[4] https://www.geeksforgeeks.org
[5] Ivry_rev-libre.pdf