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Systemic Machine Learning

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Reverse Hypothesis Machine Learning

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 128))

Abstract

As we have discussed in last two chapters, learning in isolation has its own limitations. One of the core strengths of human is to work in context and associate with different scenarios to build context. In different contexts, same information can lead to different out come and can help in producing different possibilities. In linguistic sense same word may have different meanings as per context.

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Correspondence to Parag Kulkarni .

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Kulkarni, P. (2017). Systemic Machine Learning. In: Reverse Hypothesis Machine Learning . Intelligent Systems Reference Library, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-55312-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-55312-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55311-5

  • Online ISBN: 978-3-319-55312-2

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