IRK 发表于 2025-3-25 06:31:43
http://reply.papertrans.cn/71/7012/701156/701156_21.png强壮 发表于 2025-3-25 09:11:24
Conclusion,utes. Essentially, data science is identified as a phenomenological approach relying primarily on inductive inferences. More exactly, the prevalent type of induction is variational induction. The second part comprising Chaps. ., ., ., ., and . develops a conceptual framework and a corresponding induHEDGE 发表于 2025-3-25 12:42:16
http://reply.papertrans.cn/71/7012/701156/701156_23.pngFilibuster 发表于 2025-3-25 16:19:40
https://doi.org/10.1007/978-3-030-86442-2Causal approach to analogy; Causation difference making; Data science exploratory experimentation; Data极大痛苦 发表于 2025-3-25 20:15:16
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http://reply.papertrans.cn/71/7012/701156/701156_26.png幼儿 发表于 2025-3-26 06:52:05
Wolfgang PietschStudies the epistemological foundations of data science, in depth.Presents a defense of inductivism and an inductivist framework.Offers an elaboration of a variational approach to induction指派 发表于 2025-3-26 12:26:00
http://reply.papertrans.cn/71/7012/701156/701156_28.pngMotilin 发表于 2025-3-26 16:20:46
Variational Induction,general skepticism concerning inductivist approaches, variational induction has largely been neglected in twentieth century philosophy of science. However, variational induction constitutes the central methodology of phenomenological science. Also, most, if not all, data science and machine learning algorithms rely on variational induction.社团 发表于 2025-3-26 20:49:13
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