Swami Sivasubramanian, the vice president of machine learning at Amazon, said the new features aim to make it easier for users to scale machine learning in their organizations. Firstly ...

Twitter optimizes its models on scale and latency requirements ... Twitter takes this one step further by standardizing features used in machine learning experiments and capturing them in a ...

Scaling and normalization are techniques ... By intelligently selecting and transforming these features, a machine learning model can be made more accurate and reliable, capable of handling ...

While developers are indeed moving up the machine-learning learning curve, a vendor survey finds they still have a way to go in scaling ML deployments. Algorithmia’s annual survey of the state of ...

organizations are finding feature stores to be the missing link between dreaming about suceeding with machine learning at scale and actually achieving it. The feature store is a critical piece of data ...

With AutoML (as usually defined) the computer tries all of the appropriate machine learning models, and may also try all of the appropriate feature engineering and feature scaling techniques.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

The field of machine learning on quantum computers got a boost ... Entanglement describes the state of a system of atomic-scale particles that cannot be fully described independently or individually.

Swami Sivasubramanian, the vice president of machine learning at Amazon, said the new features aim to make it easier for users to scale machine learning in their organizations. Firstly, AWS launched a ...