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Everyone is talking about Machine Learning and AI. Chatbots, self-driving cars, medical diagnoses, fraud detection... Algorithms are making decisions that shape our daily life.
And yet, when we try to learn how any of it works, we hit a wall of equations, jargon, and textbooks written for PhD students. This book was written to break down that wall.
Machine Learning Intuition teaches you the core ideas behind ML, not with heavy mathematics, but with clear explanations and simple visuals. You will understand how an algorithm learns from examples, why it makes the predictions it does, and how the full ML workflow fits together.
By the end, you will be able to: