What is machine learning for a layman?
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machine learning is the process of tuning the machine's internal variables to match input to target output, for example: you input 'A' to the computer and it should recognize it as the character 'a' in upper case
machine learning is usually associated with neural networks, which involve layers and layers of weighted sums to convert given input to output. example:
one layer:
inputs i1, i2
weights w1, w2
answer of layer = i1*w1+i2*w2
this result is very simplistic but the idea is that to get the desired answer, the weights are tuned( in whats called the training phase) to match the correct answer so that when you run it with the next set of inputs, you get your desired answer. how the weights are tuned, plz refer to the delta learning rule and the backpropagation algorithm
SatyaM711:
That's an oversimplified view I was already aware of. I require a little more detailed analogical analysis.
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