Answer Posted / Swati Passi

There are several types of algorithm methods in machine learning, including: (1) Supervised Learning - where the algorithm learns from labeled data. (2) Unsupervised Learning - where the algorithm learns from unlabeled data to find patterns and structures. (3) Semi-Supervised Learning - a combination of supervised and unsupervised learning where the algorithm learns from a small amount of labeled data and large amounts of unlabeled data. (4) Reinforcement Learning - where the algorithm learns by interacting with an environment to maximize reward.

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