Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” PBAs, such as graphics processing units (GPUs), have an important role to play in both these phases. Work by Hinton et al.

AWS 123

AWS ML ML Clustering 123

phData

MARCH 22, 2024

c.i. { "Version": "2012-10-17", "Statement": [ { "Sid": "", "Effect": "Allow", "Principal": { "AWS": " " }, "Action": "sts:AssumeRole", "Condition": { "StringEquals": { "sts:ExternalId": " " } } } ] } Grant usage on external volume to the role used to create Iceberg tables. impl org.apache.iceberg.aws.s3.S3FileIO

SQL 52

SQL AWS Database Data Lakes 52

Explosion

FEBRUARY 18, 2015

The only problem is that the list really contains two clusters of words: one associated with the legal meaning of “pleaded”, and one for the more general sense. Sorting out these clusters is an area of active research. Hardware : Intel i7-3770 (2012) Efficiency is a major concern for NLP applications.

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

Flipboard

MARCH 21, 2025

Under DATABASES , select glue_db_ or the customer glue database name you provided during project creation. You will see a new database dev@ in the managed Amazon Redshift Serverless workgroup. Select Redshift (Lakehouse) from CONNECTIONS , dev@ from DATABASES and public from SCHEMAS Run the following SQL in order.

SQL 141

SQL Data Analyst AWS Data Warehouse 141

Hacker News

JANUARY 9, 2024

And in a similar vein, we can expect LLMs to be useful in making connections to external databases, functions, etc. And in 2012 we introduced Quantity to represent quantities with units in the Wolfram Language. but with things like clustering). But in Version 14.0 and if it’s right, can be used henceforth.

Python 181

Python Algorithm Machine Learning Machine Learning 181

DrivenData Labs

MAY 1, 2025

The data for this track came from DementiaBank , an open database for the study of communication progression in dementia that combines data from different research studies. Cluster 0 was in English and included many people talking to an Alexa. Cluster 1 and 2 were both Spanish. Cluster 3 was Mandarin.

Decision Trees 130

Decision Trees Clustering Algorithm Machine Learning 130

Hacker News

MARCH 20, 2023

In 2012, with the permission of the police, Janette used a magnifying glass to find where several hairs came together in a cluster. However, to identify Somerton Man using DNA databases, we needed to go to autosomal DNA—the kind that is inherited from both parents.

Database 182

Database Clustering AI AI 182

AWS Machine Learning Blog

OCTOBER 11, 2024

This post dives deep into Amazon Bedrock Knowledge Bases , which helps with the storage and retrieval of data in vector databases for RAG-based workflows, with the objective to improve large language model (LLM) responses for inference involving an organization’s datasets. The LLM response is passed back to the agent.

Database 108

Database AWS Clustering Data Lakes 108