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Results tagged with machine-learning
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user 196216
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.
1
vote
Churn prediction on a highly passive and imbalance dataset
The questions is whether the data you collected can explain churn at all. The model can learn some weights / thresholds but it will not extract knowledge / rules that are outside your data.
E.g. if th …
- 126
2
votes
How to encode noisy text data to make it suitable for supervised machine lea
You can use BIO encodding (https://en.wikipedia.org/wiki/Inside%E2%80%93outside%E2%80%93beginning_(tagging)): mark whole the region that contains names with Is (including separators - I would deal wi …
- 126
0
votes
Group of word representations
'All' is a very strong quantifier :) very tough requirement to find 'one article to rule them all (word representations)'.
And representation of word can vary depending on the task to be solved.
E. …
- 126
0
votes
natural language processing analysis
Firstly, after quickly looking to your notebook I don't see there exactly results that you mentioned - comparison of results of the model trained on messy data and cleaned. What I saw in the notebook …
- 126