What's This Book About? This book walks you through 7 full-featured applications built with Python and Tkinter. Each application will teach you different aspects of Tkinter which you can use for your ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Language models are able to generate text, but when requiring a precise output format, they do not always perform as instructed. Various prompt engineering techniques have been introduced to improve ...