Flipboard

MAY 30, 2025

ZURU collaborated with AWS Generative AI Innovation Center and AWS Professional Services to implement a more accurate text-to-floor plan generator using generative AI. Following this filtering mechanism, data points not achieving 100% accuracy on instruction adherence are removed from the training dataset.

AWS 100

AWS Machine Learning Machine Learning Exploratory Data Analysis 100

AWS Machine Learning Blog

JUNE 5, 2025

By using the AWS Experience-Based Acceleration (EBA) program, they can enhance efficiency, scalability, and maintainability through close collaboration. To address these challenges and streamline modernization efforts, AWS offers the EBA program.

Machine Learning 59

Machine Learning Machine Learning AWS ML 59

Flipboard

MARCH 22, 2023

Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics.

AWS 123

AWS Data Preparation Azure Data Scientist 123

AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

ML 98

ML ML Database AWS 98

AWS Machine Learning Blog

SEPTEMBER 12, 2023

Solution overview Scalable Capital’s ML infrastructure consists of two AWS accounts: one as an environment for the development stage and the other one for the production stage. The following diagram shows the workflow for our email classifier project, but can also be generalized to other data science projects. Use Version 2.x

Data Science 133

Data Science Data Scientist AWS ML 133

AWS Machine Learning Blog

MARCH 29, 2023

Exploratory data analysis After you import your data, Canvas allows you to explore and analyze it, before building predictive models. You can preview your imported data and visualize the distribution of different features. This information can be used to refine your input data and drive more accurate models.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

AWS Machine Learning Blog

JULY 31, 2023

We explain the metrics and show techniques to deal with data to obtain better model performance. Prerequisites If you would like to implement all or some of the tasks described in this post, you need an AWS account with access to SageMaker Canvas. Let’s try to improve the model performance using a data-centric approach.

ML 98

ML ML Data Preparation Machine Learning 98