Category: ML Model
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Backpropagation from Scratch
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Artificial Intelligence (AI) is a very hot buzzword these days. Many people are excited (or scared 😱, depending on how you view AI) about its capabilities! Machine learning is the engine that powers any AI system. We can classify supervised machine learning […]
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Perceptron Algorithm: The Grand-daddy of AI
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Perceptron: The Genesis In the summer of 1958 a 30-year old research psychologist Frank Rosenblatt invented a machine that can be fed with some punch cards and the machine was capable of telling which cards were marked on the right and which […]
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Fit, Underfit, and Overfit in Machine Learning
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Today I am going to cover an important aspect of any machine learning model. When we build a machine learning model we always want the model to be fit, we do not want overfitting or underfitting. I’ll present a very simple example […]