Harrisburg University Data Science and Common Task Framework Paper
Description
1.In 2017, David Donoho wrote a paper examining the history and development of the emerging field of Data Science. In it he describes the common task framework (CTF), as the crucial but unappreciated methodology driving predictive modelings success. More recently Makridakis et al. (2020) summarized the outcomes of the most recent M competition.
Explain what the CTF methodology is and how it improves upon previous approaches to similar challenges.
Detail your own opinions about the centrality of CTF in the development of predictive modeling. Review the M competition and outline its findings.
Describe the similarity or differences of the most recent M competition to the CTF framework.
Finally, consider the emerging field of data science and share what other methodologies do you believe will be core to data science.
Donoho, David. 50 Years of Data Science. Journal of Computational and Graphical Statistics 26, no. 4 (October 2, 2017): 74566. https://doi.org/10.1080/10618600.2017.1384734.
Makridakis, Spyros, Evangelos Spiliotis, and Vassilios Assimakopoulos. The M4 Competition: 100,000 Time Series and 61 Forecasting Methods. International Journal of Forecasting 36, no. 1 (January 2020): 5474. https://doi.org/10.1016/j.ijforecast.2019.04.014.
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