Iguazio

SEPTEMBER 20, 2023

Twitter US Airline Sentiment Polarized Tweets from February 2015 about the large US airlines. 20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. Get the dataset here. Data is provided in a CSV file and SQLite database.

Machine Learning 96

Machine Learning Machine Learning Database Data Scientist 96

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. Janette performed our first DNA analysis in 2015 and, from the hair root, was able to place the sample within a maternal genetic lineage, or haplotype , known as “H,” which is widely spread around Europe.

Database 182

Database Clustering AI AI 182

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., 2015; Huang et al., 2015), which consists of 20 object categories with varying levels of complexity. 2015) to generate adversarial examples for each image.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine 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. To train this model, we need a labeled ground truth subset of the Low Altitude Disaster Imagery (LADI) dataset. Given the highly parallel needs, we chose Lambda to process our images.

AWS 104

AWS ML ML Data Pipeline 104

AWS Machine Learning Blog

MAY 15, 2023

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, France, Spain, Italy, Portugal, and the United States. Algorithm Selection Amazon Forecast has six built-in algorithms ( ARIMA , ETS , NPTS , Prophet , DeepAR+ , CNN-QR ), which are clustered into two groups: statististical and deep/neural network.

Algorithm 94

Algorithm Data Scientist Machine Learning Machine Learning 94

Snorkel AI

APRIL 11, 2023

So for example, in 2015, fidget spinners were all the rage. Now the key insight that we had in solving this is that we noticed that unseen concepts are actually well clustered by pre-trained deep learning models or foundation models. So this might come up if we’re a social media site and we’re trying to do a recommendation.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

So for example, in 2015, fidget spinners were all the rage. Now the key insight that we had in solving this is that we noticed that unseen concepts are actually well clustered by pre-trained deep learning models or foundation models. So this might come up if we’re a social media site and we’re trying to do a recommendation.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Snorkel AI

APRIL 11, 2023

So for example, in 2015, fidget spinners were all the rage. Now the key insight that we had in solving this is that we noticed that unseen concepts are actually well clustered by pre-trained deep learning models or foundation models. So this might come up if we’re a social media site and we’re trying to do a recommendation.

K-nearest Neighbors 52

K-nearest Neighbors Clustering Deep Learning Deep Learning 52

Pickl AI

JANUARY 23, 2023

It is an open source framework that has been available since April 2015. Scikit-Learn Scikit-Learn, or simply called SKLearn, is the most popular machine learning framework that supports various algorithms for classification, regression, and clustering. Allows clustering of unstructured data. It also allows distributed training.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

ML 88

ML ML Deep Learning Deep Learning 88

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. Labs and Emory University, to appear at ACL 2015. Independent Evaluation Independent evaluation by Yahoo!

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 19, 2024

Explore the model pre-training workflow from start to finish, including setting up clusters, troubleshooting convergence issues, and running distributed training to improve model performance. In this builders’ session, learn how to pre-train an LLM using Slurm on SageMaker HyperPod.

AWS 108

AWS ML ML AI 108

phData

MARCH 6, 2023

Delving further into KNIME Analytics Platform’s Node Repository reveals a treasure trove of data science-focused nodes, from linear regression to k-means clustering to ARIMA modeling—and quite a bit in between. The great thing about building a predictive model in KNIME is its simplicity.

Decision Trees 52

Decision Trees Analytics Analytics Data Science 52

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 ). Green ticks represent the relevant titles (source: Alvino and Basilico, “Learning a Personalized Homepage,” Netflix Technology Blog , 2015 ).

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

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. Finally, monitor and track the FL model training progression across different nodes in the cluster using the weights and biases (wandb) tool, as shown in the following screenshot.

AWS 97

AWS Analytics Analytics Machine Learning 97

IBM Journey to AI blog

NOVEMBER 9, 2023

Since 2015, IBM has provided the IBM Event Streams service, which is a fully-managed Apache Kafka service running on IBM Cloud® Since then, the service has helped many customers, as well as teams within IBM, resolve scalability and performance problems with the Kafka applications they have written. So, what can you do?

Apache Kafka 78

Apache Kafka Algorithm Clustering 78

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, compared to $3,818,000, or $0.21

ML 52

ML ML Deep Learning Deep Learning 52

Pickl AI

AUGUST 22, 2024

Overview of TensorFlow TensorFlow , developed by Google Brain, is a robust and versatile deep learning framework that was introduced in 2015. Scalability TensorFlow can handle large datasets and scale to distributed clusters, making it suitable for training complex models.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Hacker News

JANUARY 9, 2024

One very simple example (introduced in 2015) is Nothing : Another, introduced in 2020, is Splice : An old chestnut of Wolfram Language design concerns the way infinite evaluation loops are handled. but with things like clustering). And in Version 13.2

Python 181

Python Algorithm Machine Learning Machine Learning 181

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

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. The first Tableau customer conference was in 2008.

Tableau 145

Tableau ML ML Database 145

phData

SEPTEMBER 20, 2023

phData has been working in data engineering since the inception of the company back in 2015. Check out our best practices guide for spark developers using Snowpark! Why is Snowpark Exciting to us? Until now, we’ve had to treat them as different entities.

SQL 98

SQL Python Data Lakes Machine Learning 98

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. The first Tableau customer conference was in 2008.

Tableau 98

Tableau ML ML Database 98

Flipboard

NOVEMBER 24, 2023

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. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

Database 158

Database AWS ETL SQL 158

AWS Machine Learning Blog

OCTOBER 20, 2023

Meesho was founded in 2015 and today focuses on buyers and sellers across India. We used Dask—a distributed data science computing framework that natively integrates with Python libraries—on Amazon EMR to scale out the training jobs across the cluster. One of the major challenges was to run distributed training at scale.

AWS 129

AWS Data Scientist ML ML 129

AWS Machine Learning Blog

OCTOBER 23, 2024

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. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

AI 90

AI AI AWS Database 90

ODSC - Open Data Science

OCTOBER 15, 2024

The Evolution of AI Tools at Google Since the release of TensorFlow in 2015, Google has been pushing the boundaries of what is possible with AI and machine learning. Paige explained that Gemini models are used not only for code generation but also for tasks like video analysis and data clustering.

Data Science 40

Data Science Data Scientist AI AI 40