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This article traces the evolution of machine learning from its roots in cybernetics in the mid-20th century to the modern day. It explores the key milestones, breakthroughs, and challenges that have shaped the machine learning landscape, including the introduction of neural networks, the development of backpropagation algorithms, and the emergence of expert systems.
