Hacker News

JUNE 16, 2025

That post was my first real contact with the outside world in years, as I'd been off all social media and the internet since 2017. . # How I got here Nearly two years have passed since I published How I got here to my blog. The response and support I would receive from the tech community caught me completely off guard.

Database 180

Database Clustering AI AI 180

Hacker News

JUNE 9, 2025

Inefficiency of QF under altruistic motives is proven in Appendix A in Connection-Oriented Cluster Matching Paper 2. Some work has been done on collusion resistant variants of QF, such as Connection-Oriented Cluster Matching. ” SSRN , 2017. COCM also addresses the fact that contributors are not always selfish.

Clustering 91

Clustering 91

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.

Database 92

Database Clustering 92

Hacker News

JULY 19, 2025

This system allows for internal ordering by features including handshape, orientation, speed, location, and other clustered features not found in spoken dictionaries. Barbosa, Gabriela Otaviani (2017). Retrieved 2017-06-05. ^ Slevinski (20 July 2017). Jr (2017-07-12). "L2/17-220: Sign Language Studies. 2016-12-22.

Natural Language Processing 77

Natural Language Processing Machine Learning Machine Learning Clustering 77

Analytics Vidhya

OCTOBER 1, 2022

Introduction In 2017, The Economist declared that “the world’s most valuable resource is no longer oil, but data.” This article was published as a part of the Data Science Blogathon. Companies like Google, Amazon, and Microsoft gather large bytes of data, harvest it, and create complex tracking algorithms.

Data Science 270

Data Science Algorithm Analytics Analytics 270

Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. Industrial Internet of Things (IIoT) The Constraints Within the area of Industry 4.0,

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

AWS Machine Learning Blog

JULY 9, 2025

P6e-GB200 and P6-B200 both feature the sixth generation of the Nitro System, but these security and stability benefits aren’t new—our innovative Nitro architecture has been protecting and optimizing Amazon Elastic Compute Cloud (Amazon EC2) workloads since 2017.

AWS 142

AWS AI AI Clustering 142

IBM Journey to AI blog

NOVEMBER 2, 2023

Borg’s large-scale cluster management system essentially acts as a central brain for running containerized workloads across its data centers. Omega took the Borg ecosystem further, providing a flexible, scalable scheduling solution for large-scale computer clusters. Control plane nodes , which control the cluster.

Clustering 123

Clustering Cloud Computing AWS 123

Dataconomy

MAY 20, 2024

launch briefing that the platform has gained over 600,000 users since its debut in 2017. The Qiskit Serverless open-source tool, designed to manage quantum-centric supercomputing tasks across both quantum hardware and classical clusters. Qiskit 1.0

Clustering 113

Clustering AI AI 113

AWS Machine Learning Blog

JULY 10, 2025

Since launching in 2017, SageMaker AI has transformed how organizations approach AI model development by reducing complexity while maximizing performance. That is why hundreds of thousands of customers use the fully managed infrastructure, tools, and workflows of Amazon SageMaker AI to scale and advance AI model development.

AI 99

AI AI Data Scientist Clustering 99

IBM Journey to AI blog

APRIL 5, 2023

This partnership allows the public healthcare cluster to remain agile and navigate ongoing changes in compliance and technology. It also standardised policies on compensation and benefits, performance reviews and career development throughout the healthcare cluster.

Clustering 63

Clustering Data Governance 63

Dataconomy

JULY 18, 2023

Object clustering and assembly is a behavior that allows the swarm of robots to manipulate objects distributed in the environment. By clustering and assembling these objects, the swarm can engage in construction processes or accomplish specific tasks that require collaborative object manipulation.

Algorithm 172

Algorithm Clustering Artificial Intelligence Artificial Intelligence 172

Towards AI

JULY 17, 2023

Colab was first introduced in 2017 as a research project by Google. The Good — Ease of use The key differentiator of Google Colab is its ease of use; the distance from starting a Colab notebook to utilizing a fully working TPUs cluster is super short.

Machine Learning 98

Machine Learning Machine Learning Data Analysis Data Analysis 98

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 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer.

AWS 115

AWS ML ML Clustering 115

Iguazio

SEPTEMBER 20, 2023

20 Newsgroups A dataset containing roughly 20,000 newsgroup documents spanning a variety of topics, for text classification, text clustering and similar ML applications. million articles from 20,000 news sources across a seven day period in 2017 and 2018. Get the dataset here. Long-Form Content 14. Get the dataset here.

Machine Learning 96

Machine Learning Machine Learning Database Data Scientist 96

Dataconomy

APRIL 26, 2023

The strategic value of IoT development and data analytics Sierra Wireless Sierra Wireless , a wireless communications equipment designer and service provider, has been honing its focus on IoT software and managed services following its acquisition of M2M Group, a cluster of companies dedicated to IoT connectivity, in 2020.

Internet of Things 156

Internet of Things Azure Cloud Computing AWS 156

ODSC - Open Data Science

OCTOBER 18, 2023

The process begins with a careful observation of customer data and an assessment of whether there are naturally formed clusters in the data. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Towards AI

APRIL 8, 2024

Songs that frequently co-occur or appear in similar contexts will have vector representations that are clustered closer together in the high-dimensional embedding space. million unique users, capturing listens across 25 million unique songs gathered between 2017 and 2023.

Natural Language Processing 81

Natural Language Processing Clustering Algorithm AI 81

Mlearning.ai

APRIL 8, 2023

2017) “ BERT: Pre-training of deep bidirectional transformers for language understanding ” by Devlin et al. Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM ” by Deepak Narayanan et al. 2018) “ Language models are few-shot learners ” by Brown et al. 2020) “GPT-4 Technical report ” by Open AI.

Natural Language Processing 98

Natural Language Processing Algorithm Machine Learning Machine Learning 98

AWS Machine Learning Blog

FEBRUARY 10, 2023

As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. Gomez, Łukasz Kaiser, and Illia Polosukhin.

ML 98

ML ML Machine Learning Machine Learning 98

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Let’s take a look at each. .

Tableau 145

Tableau ML ML Database 145

Cambridge Intelligence

OCTOBER 19, 2023

” First release: 2017 Format: An open-source, hosted, native, property and RDF graph database Top 3 advantages: Built for cloud – Neptune is fully managed by AWS, meaning you can leave infrastructure challenges, updates, backups and other admin tasks to them.

Database 59

Database Azure Analytics Analytics 59

ODSC - Open Data Science

JUNE 19, 2024

The hedge fund has returned 151% since 2017, a remarkable achievement given China’s volatile stock market which has been shaken by real estate and other issues. The company has built a second supercomputing cluster, connecting over 10,000 Nvidia processors, enabling the training of large AI models.

AI 52

AI AI Data Science Computer Science 52

PyImageSearch

OCTOBER 30, 2023

Spotify also establishes a taste profile by grouping the music users often listen into clusters. These clusters are not based on explicit attributes (e.g., text mining, K-nearest neighbor, clustering, matrix factorization, and neural networks). Figure 3: How Spotify’s Discover Weekly works (source: Huq and Irvine, 2019 ).

K-nearest Neighbors 70

K-nearest Neighbors Algorithm Clustering Machine Learning 70

Tableau

DECEMBER 1, 2021

Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance. Let’s take a look at each. .

Tableau 98

Tableau ML ML Database 98

PyImageSearch

JULY 3, 2023

Figure 7: Different artwork images for the Netflix show: Stranger Things (source: Chandrashekar, Amat, Basilico, and Jebara, “Artwork Personalization at Netflix,” Netflix Technology Blog , 2017 ). Artwork Personalization at Netflix,” Netflix Technology Blog , 2017 ). Figure 9: Regret in batch-based machine learning.

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Flipboard

NOVEMBER 24, 2023

The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. 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.

Database 156

Database AWS ETL SQL 156

AWS Machine Learning Blog

MAY 16, 2024

Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017. The API gateway provides the list of recommendations to the client application using the Recommendation API.

AWS 126

AWS ML ML Deep Learning 126

Mlearning.ai

MAY 23, 2023

We have the IPL data from 2008 to 2017. How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Mlearning.ai

MAY 21, 2023

We have the IPL data from 2008 to 2017. How to find the most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-means clustering algorithm , this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Python 52

Explosion

AUGUST 3, 2017

— Richard Socher (@RichardSocher) March 10, 2017 The beauty of ML is that the complexity of the final system comes much from the data than from the human-written code. — Andrew Ng (@AndrewYNg) July 7, 2017 Unsupervised algorithms return meaning representations, based on the internal structure of the data.

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Mlearning.ai

DECEMBER 21, 2023

MTEB Leaderboard at Hugging Face evaluates almost all available embedding models across seven use cases —  Classification, Clustering, Pair Classification, Reranking, Retrieval, Semantic Textual Similarity (STS) and Summarization. However, now they recommend ada v2 for all tasks. Another important consideration is cost.

Database 94

Database Machine Learning Machine Learning AI 94

The MLOps Blog

DECEMBER 28, 2022

Organization Acquia Industry Software-as-a-service Team size Acquia built an ML team five years ago in 2017 and has a team size of 6. Team composition The team comprises data pipeline engineers, ML engineers, full-stack engineers, and data scientists.

ML 78

ML ML Data Scientist Machine Learning 78

DrivenData Labs

DECEMBER 11, 2024

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. We explored ways to address these challenges in our Concept to Clinic challenge in 2017-18.

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., 2015; Huang et al., an image) with the intention of causing a machine learning model to misclassify it (Goodfellow et al., 7288–7296).

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Mlearning.ai

JUNE 6, 2023

We have the IPL data from 2008 to 2017. Most dominant colors in an image using KMeans clustering In this blog, we will find the most dominant colors in an image using the K-Means clustering algorithm, this is a very interesting project and personally one of my favorites because of its simplicity and power.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

The MLOps Blog

JANUARY 30, 2025

Long established in gradient-free optimization, it was made popular for deep learning training through the Stochastic Gradient Descent with Warm Restarts technique proposed by Ilya Loshchilov and Frank Hutter in 2017. If training a model takes several months on a large cluster, well only get one shot at a full training run.

Machine Learning 64

Machine Learning Machine Learning Deep Learning Deep Learning 64