So I came across these 2 questions:
- Ideas on how to make a neural net learn how to split sequence into sub sequences
- Search minimum value with learning machine algorithm
For me both problems could be solved easily using traditional algorithmic techniques (as in coding in your typical programming language. I assume that training a NN (or any other machine learning technique) for such sorts of problems will be more time consuming, resource intensive and pointless.
My question is: If I want to solve a problem, how to decide whether it is better to solve algorithmically or by using NN/ML techniques? What are the pros and cons? How can this be done in a systematic way? And if I have to answer someone why I chose a particular domain, how should I answer?
Summary: Choosing between normal computational approach vs abstract approach used in Neural Nets or ML or AI.
Example problems are appreciated :)