In data science and machine learning, we often compare two probability distributions: one representing reality (or observed data) and another representing a model’s assumptions or predictions. A model is...
In data science and machine learning, we often compare two probability distributions: one representing reality (or observed data) and another representing a model’s assumptions...
In the era of digital transformation, businesses are constantly striving to become more efficient, data-driven, and adaptive. Traditional methods of managing data workflows—ranging from...
