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Challenges

  • Foundations of Data Science

    Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and Challenges for theory.

    標(biāo)簽: Foundations Science Data of

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • TOF 技術(shù)資料,Time of Flight 飛行時(shí)間技術(shù)說明

    ST提供的技術(shù)資料Time of Flight: Principles, Challenges,and Performance

    標(biāo)簽: tof

    上傳時(shí)間: 2022-08-10

    上傳用戶:

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