Data Science
Book review: Comprehensive Summary and Review of "Making Sense of Data" by Glenn J. Myatt
Dive into a comprehensive review of Glenn J. Myatt’s Making Sense of Data. Explore chapter summaries, thematic analysis, and key takeaways for data preparation, analysis, and interpretation. Discover how Myatt’s work connects to contemporary global issues and practical applications see more
Book review: Comprehensive Summary and Review of "Exploratory Data Analysis" by John Tukey
Discover key concepts, chapter summaries, and thematic analyses from John Tukey’s Exploratory Data Analysis. Explore its historical, economic, and sociopolitical connections, with implementable takeaways for modern data analysis. see more
8 Ways To Royally Flummox Your Data — and Not Even Know It
Embarrassing situations where you and your data might find yourselves see more
A step-by-step guide in designing knowledge-driven models using Bayesian theorem.
In case you don’t have data but there is expert’s knowledge. A starters guide to convert knowledge into computer-aided models. see more
Automating Receipt Digitization with OCR and Deep Learning
Receipt OCR or receipt digitization addresses the challenge of automatically extracting information from a receipt. In this article, I cover the theory behind receipt digitization and implement an end-to-end pipeline using OpenCV and Tesseract. I also review a few important papers that do Receipt D see more