: Published in Nature , this review paper consolidates the foundational architectures of deep neural networks, explaining backpropagation, convolutional networks, and recurrent networks in a unified technical framework.
To effectively search for technical PDFs, you must break "foundations" into three distinct pillars: foundations of data science technical publications pdf
Google pioneered the distributed systems that modern data science relies upon. : Published in Nature , this review paper
: Utilizing penalized least-squares, high-dimensional inference, and generalized linear models to analyze data effectively. : Published in Nature
Maintained by Cornell University, arXiv is the primary preprint server for computer science, statistics, and mathematics. Most cutting-edge data science research appears here first.
: These provide the mathematical basis for analyzing large networks and performing tasks like web ranking or sampling from complex distributions.
