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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  • CMYK: CMYK stands for Cyan, Magenta, Yellow, and Key (Black) and is a color model used in printing. In this model, colors are created by subtracting different amounts of cyan, magenta, and yellow inks from white paper. The more ink added, the dar ... Read More >>
  • Anomaly-based IDS: Anomaly-based Intrusion Detection System (IDS) is a type of security system that uses machine learning algorithms to detect abnormal behavior in network traffic, system calls, or user activity. Anomaly-based IDS works by creating a baseline ... Read More >>
  • Supervised Training: Supervised training is a machine learning technique where an algorithm learns from labeled data to make predictions or decisions on new, unseen data. In supervised training, the algorithm is trained on a dataset where the input data is labe ... Read More >>
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