Sparsity in a sentence as a noun

First, they encode sparsity in the loss function rather than the prior.

Compressed sensing and sparse coding show that, under certain sparsity assumptions, you can perfectly reconstruct your original data with fewer bits than previously thought.

The cited Weinberger article says: Different from random projections, the hashing-trick preserves sparsity and introduces no additional overhead to store projection matrices.

There are many choices to be made: The exact number of layers, number of neurons per layer, the connectivity, sparsity parameters, non-linearities, sizes of receptive fields, learning rates, weight decays, pre-training schedule etc etc etc.

Nimrod looks like something I'd really want to like, the game stuff I do doesn't really need Rust's hardcore garbage collection avoidance, but the ecosystem sparsity just scares me off. Meanwhile, Rust has both reasonably heavy institutional support and an impressive swarm of adventurous game developers with a C++ background working on stuff for it. I'm banking on Rust mostly for the potential ecosystem strength in being the only alternative to C++ for a high level of abstraction don't pay for what you don't use language.

Work with our data science team to implement algorithms that predict thunderstorms and their outcomes.------------------------------------------------------------------------------Data ScientistUse statistical, signal processing, and machine learning techniques with our proprietary sensor data to help solve the current data sparsity problem.

Archive data so that it can be accessed years from now to lay the groundwork for the most detailed weather statistical models ever created.------------------------------------------------------------------------------Data ScientistUse statistical and machine learning techniques with our proprietary sensor data to help solve the current data sparsity problem.

Sparsity definitions

noun

the property of being scanty or scattered; lacking denseness

See also: sparseness spareness thinness