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 December 22, 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 December 22, 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: December 22, 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 December 22, 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/
