The most common machine learning approach: training a model on labeled data where each example comes with the correct answer.
The most common machine learning approach: training a model on labeled data where each example comes with the correct answer. The model learns to map inputs to outputs. Image classification, spam detection, and price prediction are supervised learning tasks. Requires labeled training data, which can be expensive to create.
A branch of AI where systems learn patterns from data instead of following explicitly programmed rules.
A machine learning task where the model assigns input data to predefined categories.
A machine learning task where the model predicts a continuous numerical value.
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.
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