Get started with ML basics, its history, types, and real-world applications.
Definition of ML and why it matters in the modern world.
How ML evolved from early concepts to the deep learning era.
Understanding Supervised, Unsupervised, and Reinforcement Learning.
Exploring real-world use cases from spam filters to self-driving cars.