Introduction to Bayesian Statistics: Basic Concepts and Applications
Bayesian statistics is a mathematical approach that involves the application of probability (mostly conditional probability) to solve statistical problems. This approach involves initial “prior” beliefs (or probabilities) about an event which is updated when new evidence emerges through data collection. This results in ‘posterior’ beliefs which form the basis for Bayesian inferences. Often, people tend […]
Big Data: A Comprehensive Guide to Apache Hadoop, MapReduce, and Spark
Introduction In the rapidly expanding realm of technology, the proliferation of big data has revolutionized the way organizations manage and analyze vast troves of information. This surge in data volume, velocity, and variety has given rise to innovative technologies designed to process, store, and extract meaningful insights from colossal datasets. Among these technologies, Apache Hadoop, […]
