The benefits of streaming-first infrastructure for real-time ML are online prediction for fast responses and continual learning for adapting to change in data distributions in production.

Organizations are turning to machine learning because of the return on investment. The ones doing it in real-time are topping the charts.

Since its pivot from mail-order video to streaming in the early 2000s, Netflix had extensively used machine-learning algorithms to optimize customer experience and retention. In this case, students ...

SageMaker will get streaming algorithms and better batch processing and pluck data directly from Amazon's S3 storage.

Bio Sherin Thomas is a senior software engineer at Lyft. In her career spanning eight years, she has worked on most parts of the tech stack, but enjoys the challenges in Data and Machine Learning ...

When machine learning algorithms are fed a steady stream of real-time data, they can quickly detect bottlenecks, anomalies and other operational inefficiencies.

There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is 'do the logistics correctly and efficiently.' That ...

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

Streaming analytics can provide companies with a more productive way to take advantage of their information.