On today's bonus content I cover the predictive type of machine learning, known as “Supervised Learning”.
Machine learning is a subfield of artificial intelligence that uses algorithms trained on data sets to create models that enable machines to perform tasks that would otherwise only be possible for humans, such as categorizing images, analyzing data, or predicting price fluctuations. Machine learning algorithms can learn from data without being explicitly programmed, and can improve their performance over time by adapting to new data or feedback.
There are different types of machine learning, depending on the nature of the data, the task, and the feedback available. Some of the main types are: Supervised Learning, Unsupervised Learning, Reinforcement Learning.
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