AWS Machine Learning Blog

JANUARY 26, 2023

Since March 2014, Best Egg has delivered $22 billion in consumer personal loans with strong credit performance, welcomed almost 637,000 members to the recently launched Best Egg Financial Health platform, and empowered over 180,000 cardmembers who carry the new Best Egg Credit Card in their wallet.

ML 102

ML ML Data Scientist AWS 102

phData

NOVEMBER 9, 2023

If you go back to 2014, data warehouse platforms were built using legacy architectures that had drawbacks when it came to cost, scale, and flexibility. Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it. Historically, there were big differences.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

AWS Machine Learning Blog

JULY 13, 2023

Amazon SageMaker distributed training jobs enable you with one click (or one API call) to set up a distributed compute cluster, train a model, save the result to Amazon Simple Storage Service (Amazon S3), and shut down the cluster when complete. Finally, launching clusters can introduce operational overhead due to longer starting time.

Clustering 97

Clustering Algorithm Deep Learning Deep Learning 97

PyImageSearch

MAY 19, 2025

Each word or sentence is mapped to a high-dimensional vector space, where similar meanings cluster together. exceptions.InsecureRequestWarning) def perform_search(query_text, model_id): """ Perform a search operation using the neural query on the OpenSearch cluster. Figure 3: What Is Semantic Search? disable_warnings(urllib3.exceptions.InsecureRequestWarning)

K-nearest Neighbors 91

K-nearest Neighbors AWS Deep Learning Deep Learning 91

IBM Journey to AI blog

FEBRUARY 29, 2024

Kubernetes The most popular container orchestration platform is Kubernetes , which was created by Google in 2014 and is still popular for the robust way it automates the deployment of software, enables scalability and supports container management. of this market, while Kubernetes checks in with an 11.52% market share.

Cloud Computing 106

Cloud Computing Artificial Intelligence Clustering Artificial Intelligence 106

Mlearning.ai

APRIL 8, 2023

2014) Significant people : Geoffrey Hinton Yoshua Bengio Ilya Sutskever 5. Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM ” by Deepak Narayanan et al. Use Cases :Language Modeling, Question Answering, Text Generation Significant papers: “Attention is all you need” by Vaswani et al.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

Mlearning.ai

APRIL 1, 2023

Doc2Vec was introduced in 2014 by a team of researchers led by Tomas Mikolov. Image taken from Efficient Estimation of Word Representation in Vector Space Top2Vec Top2Vec is an unsupervised machine-learning model designed for topic modelling and document clustering. To achieve this, Top2Vec utilizes the doc2vec model.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. June 2014) to give people who understand joins a better experience than a dialog. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation. Connectivity.

Tableau 145

Tableau ML ML Database 145

Hacker News

JUNE 25, 2025

Signal Podcast Written Worlds Archives 2025 (47) 2024 (96) 2023 (102) 2022 (104) 2021 (181) 2020 (188) 2019 (191) 2018 (225) 2017 (235) 2016 (237) 2015 (247) 2014 (242) 2013 (232) 2012 (251) 2011 (244) 2010 (268) 2009 (275) 2008 (314) 2007 (382) 2006 (327) 2005 (330) 2004 (131) Copyright © 2023 Centauri Dreams. All Rights Reserved.

Database 88

Database Clustering 88

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. These environments ranged from individual laptops and desktops to diverse on-premises computational clusters and cloud-based infrastructure.

ML 130

ML ML AWS AI 130

Mlearning.ai

JUNE 8, 2023

Clustering  — we can cluster our sentences, useful for topic modeling. Doc2Vec: introduced in 2014, adds on to the Word2Vec model by introducing another ‘paragraph vector’. The article is clustering “Fine Food Reviews” dataset. Enables search to be performed on concepts (rather than specific words).

Machine Learning 52

Machine Learning Machine Learning Clustering Database 52

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. June 2014) to give people who understand joins a better experience than a dialog. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. . Query innovation. Connectivity.

Tableau 98

Tableau ML ML Database 98

DagsHub

APRIL 7, 2024

The project was created in 2014 by Airbnb and has been developed by the Apache Software Foundation since 2016. Cloud-agnostic and can run on any Kubernetes cluster. Integration: It can work alongside other workflow orchestration tools (Airflow cluster or AWS SageMaker Pipelines, etc.)

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Cambridge Intelligence

JUNE 28, 2023

It’s a busy chart, but I’m drawn to the cluster of larger team nodes in the top left. In 2014, London also hosted the finish of a stage that started in my hometown, Cambridge. Visualizing the Tour de France: the early years Hmmmm. Those “TDF 190# ” don’t look right – they’re clearly not teams – but I know what’s happened.

Clustering 52

Clustering Data Visualization 52

DrivenData Labs

DECEMBER 11, 2024

Looking back ¶ When we started DrivenData in 2014, the application of data science for social good was in its infancy. The startup cost is now lower to deploy everything from a GPU-enabled virtual machine for a one-off experiment to a scalable cluster for real-time model execution.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

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., 2013; Goodfellow et al., Contour detection and hierarchical image segmentation. Goodfellow, I. Shlens, J., & Szegedy, C. Goodfellow, I.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

phData

MARCH 29, 2024

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

MAY 16, 2023

Skilled in programming languages such as Python, R, and SQL, and have worked on various projects involving predictive modeling, clustering, and classification. Passionate about leveraging data to drive business decisions and improve customer experience.

Data Scientist 52

Data Scientist Data Science SQL Python 52

AWS Machine Learning Blog

MAY 7, 2024

Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. Search index creation We use an OpenSearch cluster (OpenSearch Service domain) with t3.medium.search

AWS 138

AWS Machine Learning Machine Learning AI 138

Cambridge Intelligence

OCTOBER 19, 2023

” First release: 2014 (of Cosmos DB itself) Format: A commercial, hosted, multi-model database with a property graph database service via the Gremlin API Top 3 advantages: A Microsoft Azure service – as part of the Azure family, Cosmos DB’s graph capability comes with SLA-backed speed and throughput, access, and 99.999% availability.

Database 59

Database Azure SQL Analytics 59

Explosion

MAY 17, 2023

In 2014 I started working on spaCy , and here’s an excerpt of how I explained the motivation for the library: Computers don’t understand text. We all spend a big part of our working lives writing, reading, speaking and listening. This is unfortunate, because that’s what the web almost entirely consists of.

Supervised Learning 135

Supervised Learning Natural Language Processing Clustering Machine Learning 135

Explosion

FEBRUARY 18, 2015

This is easy to do, as spaCy loads a vector-space representation for every word (by default, the vectors produced by Levy and Goldberg (2014) _). 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.

Clustering 52

Clustering Natural Language Processing Machine Learning 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 101

AWS Analytics Analytics Machine Learning 101

PyImageSearch

OCTOBER 2, 2023

By visualizing this space, colored by clothing type, as shown in Figure 9 , we can discern clusters, patterns, and potential correlations between different attributes. Similar class labels tend to form clusters, as observed with the Convolutional Autoencoder. The torch.nn Auto-Encoding Variational Bayes.

Deep Learning 122

Deep Learning Deep Learning Clustering Computer Science 122

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. Dependency Parser The parser uses the algorithm described in my 2014 blog post. The following tweaks: I use Brown cluster features — these help a lot; I redesigned the feature set.

Algorithm 40

Algorithm Python Clustering 40

Mlearning.ai

FEBRUARY 28, 2023

Year: More than half the cars in the data were manufactured in or after 2014. The next step post that would be to cluster different sets of data and see if multiple models should be created for different locations and car types. The log transformation was applied on this column to reduce skewness. I hope you enjoyed this post.

Python 52

Python EDA Exploratory Data Analysis Data Analysis 52

DagsHub

OCTOBER 23, 2024

Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. Our model achieves 28.4 after training for 3.5

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

ODSC - Open Data Science

JANUARY 29, 2024

These outputs, stored in vector databases like Weaviate, allow Prompt Enginers to directly access these embeddings for tasks like semantic search, similarity analysis, or clustering. GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Hacker News

JANUARY 9, 2024

The LLMs Have Landed The machine learning superfunctions Classify and Predict first appeared in Wolfram Language in 2014 ( Version 10 ). but with things like clustering). Spreading the power of the Wolfram Language to more and more people and areas.

Python 181

Python Algorithm Machine Learning Machine Learning 181

The MLOps Blog

JANUARY 30, 2025

If training a model takes several months on a large cluster, well only get one shot at a full training run. The 2017 DeepMind study on Population-Based Training (PBT) showcased its potential for LLMs by fine-tuning the f irst transformer model on the WMT 2014 English-German machine translation benchmark.

Machine Learning 64

Machine Learning Machine Learning Deep Learning Deep Learning 64

Hacker News

JUNE 26, 2025

reply dataviz1000 8 hours ago | prev | next [–] Luis von Ahn spoke in the early 2010s—probably around 2014—at The LAB in Wynwood, Miami. The problem is data, we need a large corpus of data labeled how exactly the audio sample is mispronouncing the word, so the model can cluster those.

AI 63

AI AI AWS Artificial Intelligence 63

Towards AI

MAY 12, 2025

This paper pretty much showed everyone how to train deep layers on a GPU 2014: NVIDIA released CuDNN a dedicated CUDA library for Deep Learning. We discuss the GPU memory, the processing cores, the LLM workflows happening inside them & common topologies for clustering. 2008 a landmark paper by Raina et al was released.

Deep Learning 57

Deep Learning Deep Learning Clustering AI 57

Hacker News

JULY 1, 2025

I have about 3 YoE training PyTorch models on HPC clusters and 1 YoE optimizing PyTorch models, including with custom CUDA kernels. I most recently spent just shy of 10 years at Uber (2014 to 2024) before taking a sabbatical for personal pursuits and I'm now looking to get back to work. Email: andrew@deandrade.com.br Let’s talk.

Python 55

Python AWS SQL ML 55

Flipboard

OCTOBER 16, 2023

Nagle’s brain implant, developed by the research consortium BrainGate , contained a “Utah” array, a cluster of 100 spiky electrodes that is surgically embedded into the brain. In 2006, Matthew Nagle, a man with spinal cord paralysis, received a brain implant that allowed him to control a computer cursor.

AI 181

AI AI Artificial Intelligence Clustering 181

ML Review

MARCH 5, 2019

Well, actually, you’ll still have to wonder because right now it’s just k-mean cluster colour, but in the future you won’t). Within both embedding pages, the user can choose the number of embeddings to show, how many k-mean clusters to split these into, as well as which embedding type to show.

AI 40

AI AI Clustering Machine Learning 40

Snorkel AI

MARCH 9, 2023

The project itself debuted in 2014, and has become the infrastructure backbone of many modern software companies and their products. Each k8s cluster is made up of two key components: the k8s control plane and an arbitrary number of attached worker nodes whose sole job is to run containers. Scaling down the cluster’s size.

ML 52

ML ML Clustering Data Scientist 52

Snorkel AI

MARCH 9, 2023

The project itself debuted in 2014, and has become the infrastructure backbone of many modern software companies and their products. Each k8s cluster is made up of two key components: the k8s control plane and an arbitrary number of attached worker nodes whose sole job is to run containers. Scaling down the cluster’s size.

ML 52

ML ML Clustering Data Scientist 52