How does AI learn from data
Nikhil Sharma
5 replies
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Maxime Dolores@m_dolr
Survol
It depends on the type of task you’re trying to solve (supervised vs unsupervised) etc
For supervised cases the AI predicts things compares with the expected result and uses the amount of error to enhance itself then tries again iteratively
For unsupervised it’s a bit more tricky but there will usually be some way to measure progress or to converge towards a result by iterating as well
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Survol
@imnikhill10 by backpropagating the error through the network, you might want to follow a simple explanation video on youtube if you're interested in going into the details
I'd recommend sentdex Neural Network From Scratch book / series of videos probably the most detailed thing for Deep Neural Networks available
For machine learning tasks you could probably find some other good resources online by searching
Got this from SaS Institute: How Artificial Intelligence Works. AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.