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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  3. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Data acquisition and preparation are critical stages regardless of the development method chosen, as the performance of any AI system relies heavily on high-quality, representative data. For systems built from scratch, engineers must gather comprehensive datasets that cover all aspects of the problem domain, ensuring enough diversity and ...

  4. Master in Data Science - Wikipedia

    en.wikipedia.org/wiki/Master_in_Data_Science

    A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining.

  5. Category:Data scientists - Wikipedia

    en.wikipedia.org/wiki/Category:Data_scientists

    American data scientists (45 P) E. Data engineers (4 P) Pages in category "Data scientists" The following 69 pages are in this category, out of 69 total.

  6. CS50 - Wikipedia

    en.wikipedia.org/wiki/CS50

    CS50 (Computer Science 50) [a] is an introductory course on computer science taught at Harvard University by David J. Malan. The on-campus version of the course is Harvard's largest class with 800 students, 102 staff, and up to 2,200 participants in their regular hackathons .

  7. How to Hire for Soft Skills - AOL

    www.aol.com/hire-soft-skills-050000939.html

    Here’s a lesson in basic anatomy for small businesses seeking to recruit the right candidate: Hard skills constitute the sturdy skeleton that keeps a worthy job applicant standing upright, but ...

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