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Questions and answers designated by tag: Classification Algorithms

What is classifier?

Thursday, 28 March 2024 by Monica Tran

A classifier in the context of machine learning is a model that is trained to predict the category or class of a given input data point. It is a fundamental concept in supervised learning, where the algorithm learns from labeled training data to make predictions on unseen data. Classifiers are extensively used in various applications

  • Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, First steps in Machine Learning, Serverless predictions at scale
Tagged under: Artificial Intelligence, Classification Algorithms, Classifier, Google Cloud AI Platform, Machine Learning, Supervised Learning

What is the purpose of fitting a classifier in regression training and testing?

Monday, 07 August 2023 by EITCA Academy

Fitting a classifier in regression training and testing serves a important purpose in the field of Artificial Intelligence and Machine Learning. The primary objective of regression is to predict continuous numerical values based on input features. However, there are scenarios where we need to classify the data into discrete categories rather than predicting continuous values.

  • Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Regression, Regression training and testing, Examination review
Tagged under: Artificial Intelligence, Classification Algorithms, Discretization, Evaluation Metrics, Feature Engineering, Regression Analysis
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