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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

3 votes
1 answer
91 views

When does knowing the causal structure of the data generating process improve supervised lea...

Consider a supervised learning prediction task where we have some real-valued feature vector X and wish to train a model that predicts discrete class label Y. When the model is deployed, Y will be un …
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2 votes
0 answers
219 views

When is logistic regression minimizing under squared error loss the same as maximizing binom... [duplicate]

Implementing logistic regression and getting different results depending on whether I minimize squared error or maximize log likelihood. When are the two equivalent?
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1 vote
1 answer
523 views

Neural networks: how can convex optimization produce different weights each time?

I am training a multilayer perceptron with a logistic activation function by backpropagation. The weights are not unique - each time I redo the fit, I get a different set of weights. However the optim …
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  • 1,029