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Results tagged with machine-learning
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user 52971
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.
29
votes
2
answers
18k
views
Bag-of-Words for Text Classification: Why not just use word frequencies instead of TFIDF?
A common approach to text classification is to train a classifier off of a 'bag-of-words'. The user takes the text to be classified and counts the frequencies of the words in each object, followed by …
- 904
2
votes
Incorporating new words in tfidf feature-vector for online clustering
As I understand it, your problem is that there are new words in the new document that have not been seen in any previous documents. As a result, if you make a tfidf matrix using the words in all the p …
- 904
19
votes
Accepted
Data augmentation techniques for general datasets?
I understand this question as involving both feature construction and dealing with the wealth of features you already have + will construct, relative to your observations (N << P).
Feature Constructi …
- 904
2
votes
Accepted
What is the role of ML model in ROI generation?
In the end, enterprise ML applications require more than just performance on the test set -- they have to perform in the real world. This performance often is qualitative and binary; the model passes …
- 904
7
votes
Accepted
Machine Learning model on dataset with mainly zeros
I would propose a few potential issues with your current procedure. (2) is more likely the primary issue.
Feature engineering / model selection: It may be the case that the models or the features ar …
- 904