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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
VRM Intel

One’s heart of your own websites

ArticlesBudget Chief5. Installing Sphinx for the Windowsdos.dos. SetMaxQueryTimeDining table from Content material4.46. query_log_min_msec This is ...
American Institute of Physics

Generating 5 million truly random bits each second

Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.

Chainguard adds 10 new projects to EmeritOSS program for prolonging the life of open source tools

Chainguard is adding 10 new open source projects to EmeritOSS, its program for supporting mature open source projects.

Probability Distribution Methods to Predict Stock Profits

Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...