AI explainability (XAI) continues to challenge business to explain underlying reasons of a ML model behavior. With the advancement of various algorithm such as DL (Deep Learning – ANN, RNN, CNN, GPT, LSTM etc.) predictability has been increasing while inferabilty/explainability
Up until last article, I discussed about SVM and its underlying mathematics using very simple linear separable dataset involving only two features (), thereby expressing the effect of classifier in simple XY coordinates. SVM is one of the most successful
As discussed in previous part, we continue building intuition before jumping into its (SVM) underlying mathematics. Please read previous part before reading this post. Our goal is to find the optimal hyperplane (it could be line, plane or hyperplane depending
Introduction: Deriving meaningful information out of heap of data is the minimal requirement for any establishment today for its survival & sustenance. There are many terminologies and buzz words related to this area that blurs the meaning leaving people confused,
Fintech industries have been catching up quite well in blending advance analytics with RPA (Robotic Process Automation) implementation in its business process in the journey of digital transformation. Human time is too expensive to be wasted in carrying out mundane and