The Three Pillars of Machine Learning

Machine Learning is an Artificial Intelligence subfield (AI). Machine Learning attempts to mimic how a human responds to a given situation. Machine learning is classified into three types: supervised, unsupervised, and reinforcement learning. Because no system is perfect, Machine Learning can help with decision-making errors. Unsupervised learning is a self-learning algorithm that seeks patterns or useful information in unlabeled data. Continuous data problems include house prices, ages, weight, and so on. A model receives data without guidance in Unsupervised Learning. Algorithms learn to react to their surroundings on their own in reinforcement learning. Self-driving cars and automatic vacuum cleaners are popular examples of reinforcement learning. 

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