LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory - Info and Reading Options
By Learning Machines 101
“LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory” Metadata:
- Title: ➤ LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory
- Author: Learning Machines 101
“LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory” Subjects and Themes:
- Subjects: ➤ Podcast - androids - artificialintelligence - bigdata - datamining - imageprocessing - machinelearning - robots - speechrecognitioncrispset - fuzzylogic - fuzzymeasure - fuzzyset - settheory
Edition Identifiers:
- Internet Archive ID: ➤ gx8ggepoasb0kelvms1yjwtlewqxtcn28pmwlv2k
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"LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory" Description:
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Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine LearningEpisode Summary: In real life, there is no certainty. There are always exceptions. In this episode, two methods are discussed for making inferences in uncertain environments. In fuzzy set theory, a smart machine has certain beliefs about imprecisely defined concepts. In fuzzy measure theory, a smart machine has beliefs about precisely defined concepts but some beliefs are stronger. Read More »The post LM101-007: How to Reason About Uncertain Events using Fuzzy Set Theory and Fuzzy Measure Theory appeared first on Learning Machines 101.
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"LM101-007: How To Reason About Uncertain Events Using Fuzzy Set Theory And Fuzzy Measure Theory" is available for download from The Internet Archive in "audio" format, the size of the file-s is: 25.24 Mbs, and the file-s went public at Mon Mar 29 2021.
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- Number of Files: 9
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- Added Date: 2021-03-29 04:52:46
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