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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- P-value: P-value is a statistical measure that helps scientists determine whether or not their hypotheses are correct. It is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the n ... Read More >>
- Data.table: Data.table is a package in R programming language that provides an enhanced version of data.frame with faster performance, efficient memory usage, and syntax optimizations. It is designed to handle large datasets with ease and speed, making ... Read More >>
- Computer Algorithms: Computer algorithms are a set of instructions or rules that a computer follows to solve a problem or perform a task. In data science and artificial intelligence, algorithms are used to analyze and process large amounts of data, make predict ... Read More >>
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News Source: CNN on 2025-01-18
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News Source: Business Insider on 2025-01-18
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News Source: ABC News on 2025-01-18
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News Source: ABC News on 2025-01-17
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