First , What are Vectors? β’ A vector is an array of numbers that represents data in a format that a machine learning model can process.β’ For example, in natural language processing (NLP), words or sentences can be transformed intoβ¦
In deep learning, the ReduceLROnPlateau is a learning rate scheduling strategy that reduces the learning rate when a metric, typically when the validation loss, has stopped improving. And Why is that Important ? ? The learning rate is a crucialβ¦
AdaBoost, short for Adaptive Boosting, is an ensemble learning method designed to improve the accuracy of classifiers. It was introduced by Yoav Freund and Robert Schapire in 1996. Here’s a detailed explanation of how AdaBoost works and its key concepts:β¦
Ever wondered how AI can solve complex problems almost as if it’s thinking like us? Demystifying Chain of Thought Prompting (COT) Imagine trying to solve a massive puzzle. It’s daunting if you look at the whole picture at once, right?β¦
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