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Can a simple neural network really model any Boolean function? While a single-layer perceptron struggles with non-linearly separable problems like XOR, a multi-layer perceptron…
Ever wondered how we find the best possible parameters for a model? MLE - the gold standard for parameter estimation.
A linear regression model may overfit the training data. How can we reduce overfitting and improve generalization performance?
How do we find the best-fit line through a cloud of data points? The Least Squares Method holds the key! By minimizing errors, this…
Why is the defeat of a Go champion by an AI from DeepMind considered a breakthrough in artificial intelligence, while chess is not seen…
Can a simple algorithm mimic how we think and make decisions? Enter the Perceptron - a groundbreaking idea that transformed AI. But how does…
Ever wondered how machines mimic human brains? With just a sprinkle of binary magic and logical gates, these simple models laid the foundation for…
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