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yesitha sathsaraExploring Gradient Descent Optimization: Variants and AlgorithmsGradient Descent is a powerful optimization technique that is used to train machine learning models, and deep learning neural networks and…Nov 8, 2023Nov 8, 2023
InGoPenAIbyCarla MartinsCS(10) Efficiency of Monte Carlo EstimatorsHow to make simulations faster and more accurateNov 27
Jonathan FraineBayes to MCMC with Examples in PythonUnderstand the components of Bayesian inference, and how it relates to the output of an MCMC operation.Jan 8, 2023
Chetan N RaoWhat is the significance of inferential and computational statistics in machine learning and data…Feb 10
yesitha sathsaraExploring Gradient Descent Optimization: Variants and AlgorithmsGradient Descent is a powerful optimization technique that is used to train machine learning models, and deep learning neural networks and…Nov 8, 2023
InTowards Data SciencebyAbdullah FaroukAn Intuitive Guide to the BootstrapThe bootstrap¹ to me is one of the most remarkable inventions of the 21st century. It is an easy-to-implement resampling technique that is…Mar 20, 2021
Muhammad Maruf SazedThe difference between mathematical, computational, and applied statisticsDifferent subdomains require different skillsets. It is important to make an informed decisions.Mar 4, 2022
