What is Classification in Machine Learning? Let Us Explain
Machine learning has revolutionized the world we live in. From movie recommendations on Netflix to filtering spam emails in Gmail, machine learning has enabled us to automate tasks that once seemed impossible. But have you ever wondered how these models work and how a program is able to predict what we like or dislike?
Well, classification in machine learning is the answer to that question. This article delves into the topic, explaining what classification is and how it works. Essentially, classification is the process of categorizing data into predefined classes or groups based on their characteristics. By training a model on a set of data with predefined labels, we can teach it to classify new data that it hasn't seen before.
Understanding classification is crucial in the world of machine learning, as it underpins many other techniques. Whether you're just getting started with ML or are looking to brush up on the fundamentals, this article is a great starting point.
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