Machine Learning can be roughly divided into supervised learning, unsupervised learning and reinforcement learning. In supervised learning, we train machines with labeled data so that they can predict future events. In unattended learning, instead of using labeled data to train them, we let the machine train independently without given information guidance. Reinforcement learning involves training algorithms through reward and punishment systems. Here, the machine learns by communicating with the environment.
To make a career transition in the domain of Machine Learning, you can enroll yourself in Intellipaat’s Machine Learning Course. To learn more about the types of Machine Learning, watch the following video:
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