Support for a wide range of regression models is the most important feature organizations need in data science and machine learning technologies as of 2019, with about 66 percent of respondents reporting this feature to be critical or very important. Hierarchical clustering and textbook statistical functions are also on top of the list.
Importance of data science and machine learning in organizations worldwide as of 2019, by feature
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Statista. (September 9, 2019). Importance of data science and machine learning in organizations worldwide as of 2019, by feature [Graph]. In Statista. Retrieved November 21, 2024, from https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/
Statista. "Importance of data science and machine learning in organizations worldwide as of 2019, by feature." Chart. September 9, 2019. Statista. Accessed November 21, 2024. https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/
Statista. (2019). Importance of data science and machine learning in organizations worldwide as of 2019, by feature. Statista. Statista Inc.. Accessed: November 21, 2024. https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/
Statista. "Importance of Data Science and Machine Learning in Organizations Worldwide as of 2019, by Feature." Statista, Statista Inc., 9 Sep 2019, https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/
Statista, Importance of data science and machine learning in organizations worldwide as of 2019, by feature Statista, https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/ (last visited November 21, 2024)
Importance of data science and machine learning in organizations worldwide as of 2019, by feature [Graph], Statista, September 9, 2019. [Online]. Available: https://www.statista.com/statistics/1053588/data-science-machine-learning-importance-of-features/
