Supervised learning in machine learning can be described in terms of function approximation. Given a dataset comprised of inputs and…
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Fixed points
Take a calculator and enter any number. Then press the cosine key over and over. Eventually the numbers will stop…
Continue ReadingData Mapping Using Machine Learning
From small to large businesses, just about every company is fighting for a chance to get their audiences attention.…
Continue ReadingKernel Secrets in Machine Learning
Not bad. Let´s carve into stone what we learned so far:The dot product is a measure of similarity between vectors. Now…
Continue ReadingFrom .rodata to .rwdata- an introduction to memory mapping and LD scripts
From . rodata to . rwdata- an introduction to memory mapping and LD scriptsGuy EzerBlockedUnblockFollowFollowingJun 4A few days ago a colleague of mine,…
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For computers, these images are nothing but matrices and understanding the nuances behind these matrices has been an obsession for…
Continue ReadingSupport Vector Machine: Kernel Trick; Mercer’s Theorem
And what the heck is Kernel Trick ?From the previous post about support vectors, we have already seen (please check to…
Continue ReadingImage Processing Class (EGBE443) #3 — Point Operation
These point operations map the intensity by the mapping function contained the constant which is image content such as the…
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