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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
4 answers
463 views

Machine learning approach to a selection problem

I'm thinking how to tackle such a problem. Let's say we have a set of products, each have some numeric characteristics (x1, x2, x3). A customer is given a choice of n such products and buys one. Only …
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3 votes

Machine Learning - What to Use as the "Correct Answer" for training purposes

Training output should be the same as your target output. If you want to predict the goal difference between two teams, you are training on realized goal differences in the past. Then you are talking …
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1 vote

Decision tree for output prediction

You can do it with decision trees for sure or any other regression model for that matter. Use any of the packages which have this method available (you can find lots of info about how to do it in R or …
sashkello's user avatar
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28 votes

Neural network with skip-layer connections

In theory, skip-layer connections should not improve on the network performance. But, since complex networks are hard to train and easy to overfit it may be very useful to explicitly add this as a lin …
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