Artificial Intelligence / Machine Learning

Machine learning has been impacting a business revenue in a huge way, be it a top product-based company like Netflix where a recommondation system is worth $1 Billion, or any medium-scale company where machine learning models play a vital role in business decisions. By knowing its contribution towards revenue, should

Model explainability refers to the concept of being able to understand the machine learning model. Being able to interpret a model increases trust in AI. There are two ways to interpret a model i.e. Global vs Local Interpretation. Global interpretation helps us in understanding how a model makes decisions

Image Analysis is one of the most demanding tools to achieve automation in various sectors. Image Classification, Captioning, Detection, Segmentation, etc., are very crucial in various demanding technologies like self-driving cars. These image analysis tools are very crucial in today's HITECH world. Inside Image analysis software contains algorithms

LIME stands for Local Interpretable Model Agnostic Explanations. Lime is one of the techniques of visualization that helps to explain individual predictions with model interpretability. Now, let's look what LIME means.. Local surrogate models are interpretable models used to explain individual predictions of black box models in machine

Model interpretability is becoming a progressively appreciated aspect. Though, when handling large models with complex relationships, interpretation is always a tedious task but is a very important part. PDP is a part of Interpretability which can be put on Supervised and Unsupervised Learning problems. Partial dependence plots show how each

SHAP stands for SHapley Additive exPlanations. It uses Shapley values as its core to explain individual predictions. Shapley values come from Game Theory where each feature present in the data is the player in the game and the final reward is the prediction that is made.