Sentence examples for stream to learn from inspiring English sources

The "Real World Decorah" live stream has also become an inimitable educational opportunity, as classrooms of grade-schoolers through colleges are watching the live stream to learn about biology, natural history, and more.

We sat down with Dyson and HICCup advisor Karen Watson at Stream Health, an "(un conference" put on by the advertising holding company WPP in Orlando Florida (disclosure: AOL is a partner of WPP and Stream) to learn the idea behind the creation of the challenge, what they'll be looking at over the next five years, and the action they hope to spur through this challenge.

The blue full line arrow means the high school graduates who would like to choose physicians as their career must choose one of the four main streams to learn medicine depending on their scores of College Entrance Examination.

In [16], Nasraoui et al. use their TECNO-STREAMS [17] stream clustering algorithm to learn from evolving usage data streams.

In the era of "big data," broadband providers do not need to look at the actual content you stream or download to learn about the likes and dislikes of everyone in your home.

This curriculum differentiation at an early age gives comparable 15-year old migrant students in school-types and streams unequal opportunities to learn certain knowledge and skills (Baker & LeTendre, 2005).

However, we assume that independent streams and loss are more natural because each stream has more freedom to learn depending on its specific task.

In an age of impersonal playlists, streaming music services need to learn the tricks of what makes radio attractive without actually trying to photocopy a radio station.

The streaming approach is used to learn models and predict the behaviours in near real time, e.g. to learn the user behaviour and provide online recommendations.

After downloading the software once to his PC, every time a user saw an ad or streaming video that displayed a Veon-enabled icon on the corner, he could click-through to both streaming and static sites to learn more the product in question and even buy it.

Since it is not possible to know a priori which scale is more discriminative, we propose considering the different Gabor scales as different streams of information and use the training data to learn multi-stream CHMMs (mixture and state level).