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Last updated: 21st Jan, 2024 Machine Learning (ML) models are designed to make predictions or decisions based on data. However,…
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In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…
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Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…
Last updated: 5th Jan, 2024 Cohen's Kappa Score is a statistic used to measure the performance of machine learning classification…
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Last updated: 30th Dec, 2023 In this post, you will learn about how to use micro-averaging and macro-averaging methods for evaluating scoring metrics (precision,…
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Data science / Machine Learning is an ever-evolving field, and competitions provide a great way for beginners / practitioners to…