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Results tagged with machine-learning
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user 13669
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.
2
votes
What is the meaning of "gold data"?
In a machine learning context, "gold" data usually refers to hand-labelled (and therefore) very high quality data.
Readers may wonder "isn't all training and test data hand-labelled and known to be co …
- 2,031
5
votes
Is it possible to train a one-class SVM to have zero training error?
Can I achieve zero training error in an SVM?
Yes, but only if the data is separable. The separability of a dataset might depend on the kernel function you're using (e.g., if you're using the dot produ …
CommunityBot
- 1
14
votes
Accepted
Resources for learning how to implement ensemble methods
A good place to start is to get an overview of ensemble learning. Especially you'll want to look at boosting and bagging. Another method was that used by "The Ensemble" team in the Netflix Prize, is c …
- 2,031
34
votes
Accepted
How to get started with neural networks
Neural networks have been around for a while, and they've changed dramatically over the years. If you only poke around on the web, you might end up with the impression that "neural network" means mult …
- 2,031
27
votes
Accepted
What happens when you apply SVD to a collaborative filtering problem? What is the difference...
$\DeclareMathOperator*{\argmin}{arg\,min}$
Ok, when you say SVD, presumably you're talking about truncated SVD (where you only keep the $k$ biggest singular values). There are two different ways to lo …
- 2,031