O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. The Time Is Now to Adopt Responsible Machine Learning. Responsible Machine Learning (ML) is a movement to make AI systems accountable for the results they produce.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

AWS Big Data

MAY 4, 2023

The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe. The AWS CDK solution deploys a network of Dask workers across two AWS Regions, connecting into a client Region. Welcome to the era of data.

Data Processing 99

Data Processing Metadata Informatics Interactive 99

Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. Tell us if this sounds familiar. You do have a few options though. So what do you do? Prerequisites.

Machine Learning 89

Machine Learning Dashboards Data Processing Data Science 89

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs).

Machine Learning 74

Machine Learning Deep Learning Cost-Benefit Forecasting 74

Cloudera

APRIL 27, 2023

Each iteration requires more compute and the limitation imposed by Moore’s Law quickly moves that task from single compute instances to distributed compute. To accomplish this, OpenAI has employed Ray to power the distributed compute platform to train each release of the GPT models.

Machine Learning 75

Machine Learning Dashboards Deep Learning Testing 75

Cloudera

NOVEMBER 17, 2021

In recognition of the diverse workload that data scientists face, Cloudera’s library of Applied ML Prototypes (AMPs) provide Data Scientists with pre-built reference examples and end-to-end solutions, using some of the most cutting edge ML methods, for a variety of common data science projects. Today, the sexy is starting to lose its shine.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121