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I\'m still pretty new to R and AI / ML techniques. I would like to use a neural net for prediction, and since I\'m new I would just like to see if this is how it should be done.
I have a typical AI Problem to solve. Customers gonna submit comments about a product. I have to be able to create a program that classify these comment as either good,bad or neutral.
Hello I want to develope Intrusion detection system using neural network. I know there are 41 inputs. ( I know this from the Dataset which I used to train the neural network) .
So I know functionally what I would like to happen, I just don\'t know the best way to make a computer do it... in C++...
I have code to solve the following problem, but it seems too slow to use (I think O(n^4)). Help a python beginner turn correct code into usable code!
I\'m planning of implementing a document ranker which uses neural networks. How can one rate a document by taking in to consideration the ratings of similar articles?. Any good python libraries for do
I am trying to find the hours where my server load goes high (peak hours). As per what I know and have read, I can employ shape matching to find a peak, and for that I can use neural networks, etc.
I am now implementing neural network for classification. I use backpropagation algorithm to train. I use Cross validation method. But I am not clear when should I stop training the neural network.
I have an AI that is good at playing Connect 4 (using minimax). Now I want to use some machine learning algorithm to learn from this AI that I have, and I would like to do that by just letting them pl
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