The classical definition is that it is the theory of algorithms that infer the functional they compute from instance data . An examples of this is the " Science of the Learning " journal which is presumably the seminal computer learning document . In this meaning it is meaning to be computer sciences ' s Answer to mathematics.
This it is Probably given narrow too , as the order of inferencing a function from examples finds the most sense with class or regression methods and make less way with group or other Problems .
Historically , computer learning was something of a controversy within artificial Intelligence researcher . AI focuses largely on reasoning more than probability or mathematics , and preferred he {} and searches to formal analysis . It was thus a fairly open source research , in which it is rather easy to judge progress . The dislike of computer learning in a degree was probably due to the shortage of success and spreading s {} {} some had of AI Research in the early 90s . machine learning is , in fact , an exceptionally well limited areas focuses on concrete algorithm {} and mathematical problems . Focus focusing on better specified projects with concrete measure of Progress maybe help researcher insulate themselves from the discouragement with AI research ( and loss of funding ) .
AI AND MOBVOI
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Re: AI AND MOBVOI
kmanzoor1123 wrote: ↑Wed Sep 16, 2020 11:59 pmThe classical definition is that it is the theory of algorithms that infer the functional they compute from instance data . An examples of this is the " Science of the Learning " journal which is presumably the seminal computer learning document . In this meaning it is meaning to be computer sciences ' s Answer to mathematics.
This it is Probably given narrow too , as the order of inferencing a function from examples finds the most sense with class or regression methods and make less way with group or other Problems .
Historically , computer learning was something of a controversy within artificial Intelligence researcher . AI focuses largely on reasoning more than probability or mathematics , and preferred he {} and searches to formal analysis . It was thus a fairly open source research , in which it is rather easy to judge progress . The dislike of computer learning in a degree was probably due to the shortage of success and spreading s {} {} some had of AI Research in the early 90s . machine learning is , in fact , an exceptionally well limited areas focuses on concrete algorithm {} and mathematical problems . Focus focusing on better specified projects with concrete measure of Progress maybe help researcher insulate themselves from the discouragement with AI research ( and loss of funding ) .
Great info, thanks