AI AND MOBVOI

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kmanzoor1123
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AI AND MOBVOI

Post by kmanzoor1123 » Wed Sep 16, 2020 11:59 pm

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 ) .

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cvi83654
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Re: AI AND MOBVOI

Post by cvi83654 » Mon Oct 05, 2020 11:42 am

kmanzoor1123 wrote:
Wed Sep 16, 2020 11:59 pm
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 ) .


Great info, thanks

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