At the beginning of any data science project, many challenges could arise that lead to its eventual collapse. Making sure you look ahead — early in the planning — toward putting your resulting model into production can help increase the chance of delivering long-term value with your developed machine learning system.
Originally from KDnuggets https://ift.tt/2P9jHsz
source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-do-machine-learning-projects-fail
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