Supervised learning in machine learning can be described in terms of function approximation. Given a dataset comprised of inputs and…

Continue Reading# mapping

## Fixed points

Take a calculator and enter any number. Then press the cosine key over and over. Eventually the numbers will stop…

Continue Reading## Data Mapping Using Machine Learning

From small to large businesses, just about every company is fighting for a chance to get their audiences attention.…

Continue Reading## Kernel 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 Reading## From .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,…

Continue Reading## UNet

For computers, these images are nothing but matrices and understanding the nuances behind these matrices has been an obsession for…

Continue Reading## Support 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 Reading## Image 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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