Ease data preparation process with organization and automation: [ Ссылка ]

AI is not a one-size-fits-all technology; every AI project is customized to solve a specific business problem, with machine learning models. These models, which rely on data and algorithms, are what address the project’s needs. There are seven steps to building an effective machine learning model, from understanding the business problem, to preparing data, to adjusting the model in operation.

After watching, which step is most intimidating? Which do you still have questions about? Let us know in the comments, and hit that like button too.


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