Sentence examples for machine learning operations from inspiring English sources

"The speed and cost of running machine learning operations — ideally in deep learning — are a competitive differentiator for enterprises.

For any company built on top of machine learning operations, the more data it has, the better it is off — as long as it can keep it all under control.

Should that be successful, the kinds of technologies that Graphcore and startups like Cerebras Systems, which has also received significant funding from Benchmark Capital, will find themselves sitting in devices around the world that demand high-power machine learning operations.

It's always hard to know how useful these comparisons are in practice, but it should at least give you a sense of the speed compared to GPUs, which are typically the most powerful chips being used in machine learning operations today.

That includes Cerebras Systems, one of the startups that has raised a significant amount of capital, which is looking to continue targeting next-generation machine learning operations with the hiring of Dhiraj Mallick as its Vice President of Engineering and Business Development.

The ability to process machine learning operations on the device itself offers opportunities in many different applications, including categorizing images and audio.

In previous studies, both machine learning and operations research techniques have been applied within automated heuristic design.

In the rest of this section, we discuss different ways that machine learning and operations research can be used to enhance the way GP evolves production scheduling heuristics.

Finally, this paper shows how knowledge from machine learning and operations research can be employed and how the current challenges can be addressed.

Discipline: is the management approach based on control theory, machine learning or operations research (i.e., optimization, game theory, bio-inspired algorithms)?

The new results also offer new insights into the asymptotic properties of several classes of recursive algorithms which are routinely used in engineering, statistics, machine learning and operations research.