But machine learning comes in many different flavors. In this post, we will explore supervised and unsupervised learning, the two main categories of machine learning algorithms.

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Here are the differences between supervised, semi-supervised, and unsupervised learning -- and how each is valuable in the enterprise.

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Learn More Supervised learning is a more commonly used form of machine learning than reinforcement learning in part because it’s a faster, cheaper form of machine learning.

Semi-supervised machine learning begins with a small set of labeled comments, teaching the algorithm to identify positive and negative sentiments.

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What semi-supervised machine learning can do In practical terms, semi-supervised learning is valuable where you have a lot of data but not all of it is organized or labeled.