High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
We obtain a Bernstein-type inequality for sums of Banach-valued random variables satisfying a weak dependence assumption of general type and under certain smoothness assumptions of the underlying ...
Mastering advanced techniques in data analysis An essential guide for professionals Understanding Data Analysis ...
Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Sixty-five years ago, Arthur Samuel went on TV to show the world ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
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