Data is the foundation of machine learning algorithms from "summary" of Machine Learning by Ethem Alpaydin
Data plays a crucial role in the development and success of machine learning algorithms. Without data, machine learning algorithms would have no basis on which to learn and make predictions. Data serves as the foundation upon which machine learning algorithms are built and trained. In machine learning, algorithms are designed to learn patterns and relationships from data in order to make predictions or decisions. The quality and quantity of the data used to train these algorithms directly impact their performance and accuracy. Without sufficient and relevant data, machine learning algorithms may not be able to generalize well to new, unseen data. Data is used to train machine learning algorithms through a process known as supervised learning. In supervised learning, algorithms are provided with a labeled dataset, where each data point is...
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