Snorkel AI

APRIL 11, 2023

The unprecedented amount of available data has been critical to many of deep learning’s recent successes, but this big data brings its own problems. Active learning is a really powerful data selection technique for reducing labeling costs. So for example, in 2015, fidget spinners were all the rage.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

The unprecedented amount of available data has been critical to many of deep learning’s recent successes, but this big data brings its own problems. Active learning is a really powerful data selection technique for reducing labeling costs. So for example, in 2015, fidget spinners were all the rage.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 24, 2023

This dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. Amazon Rekognition makes it easy to add image and video analysis into our applications, using proven, highly scalable, deep learning technology.

ML 96

ML ML AWS Data Pipeline 96

PyImageSearch

JULY 3, 2023

Figure 4: The Netflix personalized home page generation problem (source: Alvino and Basilico, “Learning a Personalized Homepage,” Netflix Technology Blog , 2015 ). These features can be simple metadata or model-based features (extracted from a deep learning model), representing how good that video is for a member.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015.

ML 75

ML ML Deep Learning Deep Learning 75

AWS Machine Learning Blog

JANUARY 13, 2023

They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. FedML supports several out-of-the-box deep learning algorithms for various data types, such as tabular, text, image, graphs, and Internet of Things (IoT) data. Define the model.

AWS 81

AWS Analytics Analytics Machine Learning 81

AWS Machine Learning Blog

APRIL 18, 2023

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015.

ML 52

ML ML Deep Learning Deep Learning 52

Google Research AI blog

MARCH 7, 2023

In this competition, we invite researchers from around the world to build systems that can produce hierarchical annotations of text in images using words clustered into lines and paragraphs. Middle: Illustration of line clustering. Right: Illustration paragraph clustering. Samples from the HierText dataset.

Clustering 102

Clustering Natural Language Processing Deep Learning Deep Learning 102

AWS Machine Learning Blog

OCTOBER 23, 2024

He focuses on Deep learning including NLP and Computer Vision domains. Since joining SnapLogic in 2010, Greg has helped design and implement several key platform features including cluster processing, big data processing, the cloud architecture, and machine learning.

AI 73

AI AI AWS Database 73