Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Once upon a time, the portal concept promised to give every user a personalized view. Finally, the promise of a web where the user was also the controller could be realized. That didn’t quite work out ...
Based on Harinder Sikka’s novel Calling Sehmat, Raazi portrays the gripping tale of a young Kashmiri girl compelled by her father to marry into a Pakistani family to gather crucial intelligence during ...
Before analyzing a dataset, the first step is acquiring the data. While platforms like Kaggle and data.gov provide a wealth of datasets, one of the most popular platforms for local government data is ...
Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...
From precision salon cuts to gravity-defying hair sculptures, the hairstylist community on YouTube is blurring the line between professional expertise and amateur enthusiasm. These videos range from ...
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