Explosion

FEBRUARY 18, 2015

The tutorial also recommends the use of Brown cluster features, and case normalization features, as these make the model more robust and domain independent. I use greedy decoding, not beam search; I use the arc-eager transition system; I use the Goldberg and Nivre (2012) dynamic oracle. spaCy’s tagger makes heavy use of these features.

Algorithm 40

Algorithm Python Clustering 40

Flipboard

AUGUST 17, 2023

Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates. We attached the IAM role to the Redshift cluster that we created earlier.

ML 93

ML ML AWS Data Warehouse 93

O'Reilly Media

SEPTEMBER 19, 2023

A basic, production-ready cluster priced out to the low-six-figures. A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Plus there was all of the infrastructure to push data into the cluster in the first place. Goodbye, Hadoop. And it was good.

Hadoop 99

Hadoop Algorithm ML ML 99

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2012; Otsu, 1979; Long et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., References: Arbeláez, P.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Smart Data Collective

SEPTEMBER 17, 2020

In 2012, Google boasted about its capabilities of using big data to create storytelling via interactive maps. Grouping radii can serve to visually demonstrate a cluster of comparative data within a particular location. The highly intuitive data interface provided by Google Maps can be very helpful.

Big Data 132

Big Data Big Data Data Mining Data Mining 132

Cambridge Intelligence

OCTOBER 19, 2023

” First release: 2012 Format: An open-source, multi-model (property graph, document and key-value) database with hosted and local options Top 3 advantages: Native multi-model – 3 database models in one, reducing costs of ownership and tech stack complexity.

Database 59

Database Azure SQL AWS 59

AWS Machine Learning Blog

MARCH 15, 2023

Cluster resources are provisioned for the duration of your job, and cleaned up when a job is complete. The processing container image can either be a SageMaker built-in image or a custom image that you provide. The underlying infrastructure for a Processing job is fully managed by SageMaker.

AWS 123

AWS Machine Learning Machine Learning Data Scientist 123

Google Research AI blog

DECEMBER 8, 2022

A group of photons initially clustered on neighboring sites will evolve into a superposition of all possible paths each photon might have taken. Among all the possible configuration paths, the only possible scenario that survives is the configuration in which all photons remain clustered together in a bound state.

Clustering 52

Clustering AI AI 52

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. As the death mask had been molded directly off the Somerton Man’s head, neck, and upper body, some of the man’s hair was embedded in the plaster of ­Paris—a potential DNA gold mine.

Database 181

Database Clustering AI AI 181

AWS Machine Learning Blog

APRIL 16, 2024

For Secret type , choose Credentials for Amazon Redshift cluster. Choose the Redshift cluster associated with the secrets. or later image versions. Complete the following steps: On the Secrets Manager console, choose Store a new secret. Enter the credentials used to log in to access Amazon Redshift as a data source.

SQL 91

SQL AWS Database Data Scientist 91

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

Hacker News

JANUARY 9, 2024

And in 2012 we introduced Quantity to represent quantities with units in the Wolfram Language. but with things like clustering). Meanwhile, having realized that date arithmetic is involved in the “inner loop” of certain computations, we optimized it—achieving a more than 100x speedup in Version 14.0.

Python 181

Python Algorithm Machine Learning Machine Learning 181