ml-recall

#online-learning

2 questions from Optimization & Calculus, Probabilistic & Graphical Models

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easyAI-checkedOptimization & Calculus

A model that predicts a machine's temperature must be updated right after each new sensor reading arrives, and old readings are not kept. Which gradient-descent variant fits?

Stochastic gradient descent, one update per reading1
Full-batch gradient descent over all readings seen so far2
Mini-batch gradient descent with batches of 1,024 readings3
Full-batch gradient descent with a smaller learning rate4

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