Sentence examples for proprietary learning from inspiring English sources

However, the question is what distance learning methodology best suits such a proprietary learning purpose.

The chief executive and co-founder of RediLearning, Michael Hemlepp, said that the company would use the capital to "Create additional content and features for our proprietary learning management system, and hire at least ten more employees over the next year".

Boundless, the Boston-based e-textbook company that has been battling three top education publishers in court since 2012, has made its first foray into monetizing on its free textbooks with premium upgrades on its proprietary learning technology.

While many Spanish learning sites are free, some require payment in exchange for proprietary learning tools.

"Clapping is fun, fast, and by using our proprietary machine learning clap detection algorithm, Clapboss is more accurate than any other clap sensor available".

It says the score is calculated via a proprietary machine learning technology — based on criteria such as "the debt to income, cash flow trends, financial behavior with direct debits".

Small companies and startups looking to get into AI now have a much lower barrier to entry, whereas large traditional companies can build out their own proprietary machine learning algorithms for use within the organization without an outrageous upfront investment.

For starters, it developed a proprietary machine learning algorithm that sorts through more than 50 million fares' worth of data per day to find deals that appeal to each individual user.

The new product is based on a year's worth of work that TheTake's development did to train a proprietary machine learning algorithm to identify images using a different technique than the industry standard, according to TheTake's chief executive Ty Cooper.

Instead the claim was that it would, using its proprietary software, learn from recorded sound precisely how an instrument — a piano, for starters — was played, with what force a key was struck, how far down the sustain pedal was pressed, when each finger moved, how each note was weighted in a complex chord and what sort of timbre was actually produced.

That theory seems to be backed up by Chomp's description of its technology: "Chomp's proprietary algorithm learns the functions and topics of apps, so you can search based on what apps do, not just what they're called".