#machinelearning / Page 2

In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.

Deep Learning is a subset of Machine Learning that uses multi-layers artificial neural networks to deliver state-of-the-art accuracy.

/PRNewswire/ -- Rokt, the leading ecommerce company using machine learning to make the shopping experience more relevant to each customer, today announced that ...

Human babies are much faster and more efficient than large language models when it comes to learning language.

Medical imaging papers are full of familiar-looking terms: normalization, labels, validation, annotation, and preprocessing. If you come from general machine learning, you may think you already know w ...

Bruna Pereira explains how DoorDash built a content-agnostic AI moderation platform. She covers replacing costly LLM-only pipelines with a hybrid pattern: using fast internal models to filter obvious cases, LLM multi-axis scoring for nuanced ...

A smartwatch can tell you that your heart rate is 78 beats per minute, that you've walked 6,421 steps, or that you slept for 7 hours last night. All of these numbers appear simple on the screen, but b ...

Stop paying for apps you could build yourself in a weekend with Claude.

NASA Earth science data is supporting machine-learning forecasts that inform decisions about water, power, and public safety in Washington state.