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

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 113

AWS ML ML Clustering 113

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

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 AWS Cloud Computing 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

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

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

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 91

ML ML Machine Learning Machine Learning 91

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 SQL Analytics 59

Flipboard

OCTOBER 16, 2023

It’s mostly about the bandwidth, the speed of the connection between your brain and the digital version of yourself, particularly output,” he said in 2017. 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.

AI 181

AI AI Artificial Intelligence Artificial Intelligence 181

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 67

K-nearest Neighbors Algorithm Clustering Machine Learning 67

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 130

AWS ML ML Deep Learning 130

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

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 AI AI Machine Learning 94

phData

NOVEMBER 8, 2024

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. 2017 - Apache Iceberg Developed by Netflix, Iceberg addressed challenges like managing large datasets, schema evolution, and time travel (the ability to query historical data).

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

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

Snorkel AI

MARCH 31, 2023

Training a tens- or hundreds-billion parameter model, using close to a terabyte worth of data, pretty much requires a dedicated supercomputer scale cluster for weeks or months. So in this talk, I’d like to share with you what we find as a practical approach to deliver enterprise value with foundation models.

Deep Learning 52

Deep Learning Deep Learning AI AI 52

Hacker News

JANUARY 9, 2024

We’ve had the ability to do global computations about solar eclipses for some time (actually since soon before the 2017 eclipse ). but with things like clustering). But in this case there was a very specific deadline: the total solar eclipse visible from the US on April 8, 2024.

Python 181

Python Algorithm Machine Learning Machine Learning 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. S., & Dean, J. In NIPS (pp.

AI 40

AI AI Clustering Machine Learning 40

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

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 148

Data Science Data Scientist Machine Learning Machine Learning 148

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

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 158

Database AWS ETL SQL 158

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

PyImageSearch

MAY 1, 2023

Redmon and Farhadi (2017) published YOLOv2 at the CVPR Conference and improved the original model by incorporating batch normalization, anchor boxes, and dimension clusters. It quickly gained popularity due to its high speed and accuracy. The authors continued from there. And then came the YOLO model wave. Yes, you read it right!

Deep Learning 99

Deep Learning Deep Learning Python Algorithm 99

The MLOps Blog

JUNE 5, 2023

It’s built on top of the transformer architecture that was released by Google in 2017, but GPT-3 and ChatGPT are sort of proprietary incarnations of that from OpenAI. Environments that can’t have a GPU – you can’t carry a cluster around in your phone or whatever it is, or wherever you are to do everything.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 6, 2024

The explosion of data from cloud workloads, Kubernetes clusters, and distributed edge locations has overwhelmed conventional monitoring tools, leading to fragmented views and reactive operations that respond to issues after they occur. It’s 2017, 2017 Ford Fusion. My name is Violet Vviolet. My last name is King King.

AWS 123

AWS Machine Learning Machine Learning ML 123