Data Science Introduction to MCMC, dividing it into its simplest terms Photo by Karine Avetisyan on UnsplashI recently posted an article where I used Bayesian Inference and Markov chain Monte carlo (MCMC) to predict the CL round of 16 winners. There, I tried to explain bayesian statistics in relative depth but I didn’t tell much…

Image Property of Author — Create with NightcafeDiscover how to significantly improve inference latency on CPUs using quantization techniques for mixed, int8, and int4 precisions One of the most significant challenges the AI space faces is the need for computing resources to host large-scale production-grade LLM-based applications. At scale, LLM applications require redundancy, scalability, and…

The quest to refine neural networks for practical applications traces its roots back to the foundational days of the field. When Rumelhart, Hinton, and Williams first demonstrated how to use the backpropagation algorithm to successfully train multi-layer neural networks that could learn complex, non-linear representations in 1986, the vast potential of these models became apparent.…

Analyzing Landsat-8 imagery (2014–2023) to create the time series of Great Salt Lake surface area using Python in Google Colab Timelapse of the Great Salt Lake area, based on cloud-free Landsat-8 images from 2014 to 2023, visualized by the author🌅 Introduction to the Great Salt Lake Shrinkage Problem 💾 Downloading Landsat-8 Images 📈 Time Series…