The framework that may allow you to ace the Success Metrics Questions and standoutAs I equipped for my Product Data Scientist interviews, I scoured the net for suggestions and frameworks on handling the “Success...
If you've been experimenting with large language models (LLMs) for search and retrieval tasks, you've likely come across retrieval augmented generation (RAG) as a method so as to add relevant contextual information to LLM...
STATISTICSA guide to computing and interpreting Coefficient of Variation and Quantile Coefficient of DispersionWe’ve all heard the saying, “Variety is the spice of life,” and in data, that variety or diversity often takes the...
Large Language Models (LLMs) that enable AI chatbots like ChatGPT proceed to realize popularity as more use cases arise for generative AI. Particularly, Retrieval-Augmented Generation (RAG) systems proposed in 2021, and popularized by tools...
Large Language Models (LLMs) that enable AI chatbots like ChatGPT proceed to achieve popularity as more use cases arise for generative AI. Particularly, Retrieval-Augmented Generation (RAG) systems proposed in 2021, and popularized by tools...
Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOSEach of our two-stage object detection models (in green and lightweight blue above) far out-perform the single-stage models in mean average precision,...
Principally, all metrics exploded in size, which is intuitively consistent. That will not be the case for sMAPE, which stayed the identical between each cases.I highly encourage you to mess around with such toy...
A comprehensive (and colourful) guide to all the pieces you'll want to learn about evaluating classification modelsI spotted through my learning journey that I’m an incredibly visual learner and I appreciate using color and...