The most cited deep learning papers. Contribute to terryum/awesome-deep-learning-papers development by creating an account on GitHub.

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Here’s how the general-purpose favorite of scientists stacks up against the stat head’s data-honed tool of choice

I provide an overview of the data science workflow and highlight some challenges that data scientists face in their work.

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Google today said that its machine learning models can now detect spam and phishing messages with 99.9 percent accuracy. While this still means that one out of a thousand messages gets through,…

A support vector machine (SVM) is a supervised machine learning algorithm that solves two-group classification problems. After giving an SVM model sets of labeled training data for each category, they’re able to categorize new text.

A look at why Chebyshev's Inequality holds true and some potential applications.

(Phys.org)—A large group of scientists and statisticians has uploaded a paper to the PsyArXiv preprint server arguing for changing the p-value from .05 to .005. The paper outlines their reasons for ...