Technologies


Technologies refer to the tools, methods, and techniques used to collect, process, analyze, and interpret data in the field of data science and artificial intelligence. These technologies include hardware, software, and programming languages that enable data scientists and AI experts to extract insights and knowledge from large and complex datasets. Some of the key technologies used in data science and AI include machine learning algorithms, data visualization tools, cloud computing platforms, natural language processing techniques, and big data frameworks. These technologies are constantly evolving and improving, driven by advances in computer science, statistics, and other related fields.


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  • OCR: OCR stands for Optical Character Recognition. It is a technology that enables the recognition of printed or handwritten text characters within digital images or scanned documents and then converts them into machine-encoded text. OCR is a fo ... Read More >>
  • Categorical Variables: In data science, categorical variables are variables that take on a limited, and usually fixed, number of possible values. These values are typically used to label or group data, and can be either nominal or ordinal. Nominal categorical var ... Read More >>
  • Level Of Confidence: Level of Confidence is a statistical measure used to determine the range in which a population parameter, such as the mean or proportion, is likely to lie. It is calculated from a given set of data and is expressed as a percentage. The high ... Read More >>
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