Simply

Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply

discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. On this blog, we are going to explore one other vital classification metric called the Gini Coefficient. Why do we've multiple classification...

FastSAM  for Image Segmentation Tasks — Explained Simply

segmentation is a well-liked task in computer vision, with the goal of partitioning an input image into multiple regions, where each region represents a separate object. Several classic approaches from the past involved taking...

Reinforcement Learning from Human Feedback, Explained Simply

The looks of ChatGPT in 2022 completely modified how the world began perceiving artificial intelligence. The incredible performance of ChatGPT led to the rapid development of other powerful LLMs. We could roughly say that ChatGPT...

Layers of the AI Stack, Explained Simply

of Contents Introduction The AI space is an enormous and sophisticated landscape. Matt Turck famously does his Machine Learning, AI, and Data (MAD) landscape yearly, and it all the time seems to get crazier and crazier....

Every Step of the Machine Learning Life Cycle Simply Explained

A comprehensive guide to the ML life cycle, step-by-step with examples in PythonFor those who’ve been in the information science space for any period of time, you’ve most definitely heard this buzz term.The machine...

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