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英文字典中文字典相关资料:


  • Machine-readable vs. Human-readable Data - Technical Articles
    The data presented in the machine-readable format can be automatically extracted and used for further processing and analysis without human involvement The machine-readable data is automatically shared using systems allowing automatic data feed
  • Human Readability of Data Files - PMC
    In this era of big data and FAIR data, data formats must be machine interpretable XML, among other standards, satisfies this requirement Yet many standardization initiatives cite human readability as a second, key property in data format development
  • Machine-readable medium and data - Wikipedia
    In communications and computing, a machine-readable medium (or computer-readable medium) is a medium capable of storing data in a format easily readable by a digital computer or a sensor It contrasts with human-readable medium and data
  • encoding - Why should I use a human readable file format . . .
    A major reason is that if someone needs to read the data say, 30 years from now, human readable format can be figured out Binary is much more difficult If your have large data sets that are binary by nature (e g images), they obviously can't be stored in any other than binary form
  • Transformation from human-readable documents and archives in . . .
    Transforming human-readable documents to machine-interpretable data for implementing advanced knowledge discovery via artificial intelligence methods An integrated method for extracting and migrating data from multi-format sources as a structured JSON format
  • 3. Data Meant to Be Read by Machines - Data Wrangling with . . .
    Data Meant to Be Read by Machines Data can be stored in many different formats and file types Some formats store data in a way easily handled by machines, while others store data in a way meant to be easily readable by a human Microsoft Word documents are an example of the latter, while CSV, JSON, and XML are examples of the former
  • Distilling Interpretable Models into Human-Readable Code
    Human-readability is an important and desirable standard for machine-learned model interpretability Readable models are transparent and can be reviewed, manipulated, and deployed like traditional source code As a result, such models can be improved outside the context of machine learning and manually edited if desired Given





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