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In previous chapters, we have introduced some fundamental mathematical and statistical knowledge needed to understand algorithms and create new approaches. This chapter will deal with some of the important issues surrounding data analysis. The fields of machine learning and data science have developed rapidly recently with many new versions of algorithms being presented and evaluated, each suited for different tasks. There are too many to describe here and specialised literature is needed to introduce you to the ones in any area that you wish to study.

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Data Modelling in Practice

  • 章节

  • 发表日期：

    2025年

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  • Yi Sun,
  • Rod Adams

摘要

In previous chapters, we have introduced some fundamental mathematical and statistical knowledge needed to understand algorithms and create new approaches. This chapter will deal with some of the important issues surrounding data analysis. The fields of machine learning and data science have developed rapidly recently with many new versions of algorithms being presented and evaluated, each suited for different tasks. There are too many to describe here and specialised literature is needed to introduce you to the ones in any area that you wish to study.