Sentence examples for machine learning background from inspiring English sources

The Amazon Machine Learning service is designed to give developers without machine learning background the tools to build smart, data-driven applications that can not only analyze what's happening in real time or what happened in the past, but also predict what's going to happen in the future (and that's what's most interesting here).

2Hz's Krisp is a new desktop app that uses machine learning to subtract background noise like that, or crowds, or even crying kids — while keeping your voice intact.

And if that company's business depends on some machine learning happening in the background, that means it's dependent on all that training and tracking happening as quickly and smoothly as possible, with any hiccups leading to real-term repercussions for its own business.

She noted that she and her co-founder and CTO Charles Feng both have a background in machine learning.

In researching this post I also talked to Ian Hogarth, co-founder and CEO of gig search engine and recommendation platform Songkick, who has a background in machine learning.

One group of researchers with Stanford University developed a machine learning algorithm to match a refugees' background, skills, education, and language skills to a particular region as a means to help the resettlement process.

37– 45 While the intent of this article is to compare the predictive performances of various machine learning algorithms, we also provide some background about these methods to assist the readers.

He is working with Dr. Sudhir Sharma, a portfolio manager of 20 years with a background in nanotech and machine learning.

On the other hand, discriminative model-based methods usually employ the binary classifier or machine learning techniques to distinguish the tracked object from the background.

BDA companies are built by teams of people with a strong background in large-scale systems and machine learning / data mining (like my co-founder Ashutosh Garg).

That makes sense, given the founders' background in optimizing airlines and financial systems through machine learning.