Black-Box ML are machine learning models or algorithms whose internal workings or mechanisms are not transparent or interpretable. They are often used when understanding the model’s decision-making process is less critical than its predictive accuracy.
Black-Box ML
SHARE
Related Links
In the fast-paced world of marketing, precise targeting and actionable insights are essential. Campaign managers often…
E-commerce platforms are fast-paced and handle a huge number of transactions. Based on our engagement with…
