AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Complete the following steps: Choose Prepare and analyze data.

Generative AI 124

Generative AI Categorization Auto-complete Auto-classification 124

ODSC - Open Data Science

FEBRUARY 28, 2023

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

The MLOps Blog

JUNE 27, 2023

Databricks Databricks is a cloud-native platform for big data processing, machine learning, and analytics built using the Data Lakehouse architecture. Can you see the complete model lineage with data/models/experiments used downstream? A self-service infrastructure portal for infrastructure and governance.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MAY 3, 2023

Each business problem is different, each dataset is different, data volumes vary wildly from client to client, and data quality and often cardinality of a certain column (in the case of structured data) might play a significant role in the complexity of the feature engineering process.

Auto-classification 101

Auto-classification Auto-complete Machine Learning Metadata 101

AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. Following are the steps completed by using APIs to create and share a model package group across accounts. In Account A, create a model package group.

ML 104

ML Machine Learning Auto-complete Auto-classification 104

AWS Machine Learning Blog

AUGUST 15, 2024

Starting today, you can prepare your petabyte-scale data and explore many ML models with AutoML by chat and with a few clicks. In this post, we show you how you can complete all these steps with the new integration in SageMaker Canvas with Amazon EMR Serverless without writing code.

ML 125

ML Generative AI Auto-complete Data Quality 125