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 […] TechCrunch Desktop Logo TechCrunch ...

Standardize platforms to drive scale. Both Facebook and Twitter had early starts to their machine learning programs. They began with unstructured approaches but are now taking steps to standardize ...

Feature engineering entails curating, refining and optimizing data attributes to empower machine learning models for improved performance and predictive accuracy. Step 1: Data collection ...

Machine learning may be eating software, but it looks as though feature stores may be eating machine learning. In the rush to develop and roll machine learning applications into production, ...

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 ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

To illustrate the interaction between feature selection and linear regression, I scraped 500 rows of game logs from stats.nba.com, placed them in a .csv file on one of our test Hadoop clusters ...

Entanglement unlocks scaling for quantum machine learning. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2022 / 02 / 220224125214.htm. DOE/Los Alamos National Laboratory.

We continue our five-part series on the steps to take before launching a machine learning startup. The complete report, available here, covers how to get started, choose a framework, decide what ...

The latest version of Stata introduces a wealth of substantive new features. Expanded machine learning – In Stata 19, you can build high-performance predictive models with the all-new H2OML ...