While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.
Originally from KDnuggets https://ift.tt/30uZ6AQ
source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-i-learned-from-looking-at-200-machine-learning-tools
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