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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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I have limited samples for one class, unlimited samples for the other class. Need to balance?
I want my machine learning algorithm to learn the difference between two classes, actually picture of X or picture of something else.
My sample data is:
500 pictures of X (I know it is low, unfortu …
9
votes
3
answers
251
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What recommendation engine for a situation where users can only see a fraction of all items?
I want to add a recommendation feature to a document management system. It is a server on which most company documents are stored. Employees browse the web interface and click to download (or read onl …
6
votes
4
answers
1k
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Image recognition of selfie images
I developed an Android app that lets anyone upload pictures of encyclopedic things (bridges, museums, dishes, landscapes, paintings, etc) to Wikimedia Commons.
Unfortunately, 5% of the users find it …
0
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High accuracy on test and validation data but still can not predict on real data
It means that your training/validation/test data is not representative of the real world.
You should get fresh new data from the real world, and use it instead.
Of course I trust that your training/va …