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Home » An Introduction to Machine Learning

An Introduction to Machine Learning

Asep Budi by Asep Budi
28 Juni 2024
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Doing this would build their confidence in identifying triangular shapes (Fig. 2). When it’s first created, an AI knows nothing; ML gives AI the ability to learn about its world. Association, to discover the probability of a link between items or variables in various situations or contexts. Commonly used in market-basket analysis, it allows you to determine the probability of a customer to buy an item based on them purchasing another related or unrelated item.

Derived from the self-training approach and being its improved version, co-training is another semi-supervised learning technique used when only a small portion of labeled data is available. Unlike the typical process, co-training trains two individual classifiers based on two views of data. Neural networks, for example, might be best for image recognition tasks, while decision trees could be more suitable for a different type of classification problem. “It’s often about finding the right tool for the right job in the context of machine learning and about fitting to the budget and computational constraints of the project,” Guarrera explained.

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