A machine learning task where the model assigns input data to predefined categories.
A machine learning task where the model assigns input data to predefined categories. Spam detection (spam or not spam), image recognition (cat or dog), and sentiment analysis (positive or negative) are all classification problems. One of the most common and practical applications of ML.
The most common machine learning approach: training a model on labeled data where each example comes with the correct answer.
A function that converts a vector of numbers into a probability distribution — all values between 0 and 1 that sum to 1.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
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