ODSC - Open Data Science

MAY 30, 2023

For example, rising interest rates and falling equities already in 2013 and again in 2020 and 2022 led to drawdowns of risk parity schemes. In 2023-Q1, we even saw failing banks like SVB simply because of investments in “safe” treasury bonds.

ML 52

ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

MARCH 15, 2024

Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking. EKS Blueprints helps compose complete EKS clusters that are fully bootstrapped with the operational software that is needed to deploy and operate workloads. He also holds an MBA from Colorado State University.

AWS 128

AWS ML ML Machine Learning 128

Mlearning.ai

APRIL 1, 2023

It was first introduced in 2013 by a team of researchers at Google 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

phData

NOVEMBER 8, 2024

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. 2013 - Apache Parquet and ORC These columnar storage formats were developed to optimize storage and speed within distributed storage and computing environments.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

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 Clustering Artificial Intelligence 181

Cambridge Intelligence

NOVEMBER 8, 2023

Earthquake data as a geospatial visualization A map view reveals what we’d expect, that the largest clusters of earthquakes occur where tectonic plates meet. Additional investigation reveals that this was the 2013 Russian Okhotsk Sea earthquake. Let’s focus on the major earthquakes between 2010-2011, including the 9.1

Clustering 64

Clustering Data Visualization Database Data Modeling 64

Explosion

FEBRUARY 18, 2015

Part-of-speech Tagger In 2013, I wrote a blog post describing how to write a good part of speech tagger. The tutorial also recommends the use of Brown cluster features, and case normalization features, as these make the model more robust and domain independent. spaCy’s tagger makes heavy use of these features.

Algorithm 40

Algorithm Python Clustering 40

AWS Machine Learning Blog

MARCH 10, 2025

Founded in 2013, Octus, formerly Reorg, is the essential credit intelligence and data provider for the worlds leading buy side firms, investment banks, law firms and advisory firms. Our use of Amazon ECS with Fargate with auto scaling rules and controls gives us elastic scalability for our services during peak usage hours.

AWS 68

AWS Database AI AI 68

Google Research AI blog

DECEMBER 8, 2022

A group of photons initially clustered on neighboring sites will evolve into a superposition of all possible paths each photon might have taken. Among all the possible configuration paths, the only possible scenario that survives is the configuration in which all photons remain clustered together in a bound state.

Clustering 52

Clustering AI AI 52

PyImageSearch

OCTOBER 2, 2023

VAEs were introduced in 2013 by Diederik et al. 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.

Deep Learning 108

Deep Learning Deep Learning Clustering Computer Science 108

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., 2013; Goodfellow et al., 2012; Otsu, 1979; Long et al., Challenges in representation learning: A report on three machine learning contests. Neural Networks, 64, 59–63.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Explosion

FEBRUARY 28, 2017

For the similarity metric, I’ve been using a distance function taken from Chen (2013) , which he terms Cauchy Similarity : def ChenCauchy(length): '''Create a trainable similarity function, that will return the similarity and a callback to compute the backward pass given the gradient.

Algorithm 40

Algorithm Clustering 40

DrivenData Labs

DECEMBER 7, 2023

Solvers submitted a wide range of methodologies to this end, including using open-source and third party LLMs (GPT, LLaMA), clustering (DBSCAN, K-Means), dimensionality reduction (PCA), topic modeling (LDA, BERT), sentence transformers, semantic search, named entity recognition, and more. and DistilBERT.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130

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. References Harris, Z. Mikolov, T.,

AI 40

AI AI Clustering Machine Learning 40

Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. March 2013), which is our cloud product. Release v1.0

Tableau 145

Tableau ML ML Database 145

Tableau

DECEMBER 1, 2021

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. March 2013), which is our cloud product. Release v1.0

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

Flipboard

MARCH 28, 2025

As competition in AI intensifies, xAI has been ramping up its data center capacity to train more advanced models, and its supercomputer cluster in Memphis, called “Colossus,” is touted as the largest in the world. Musk in February made a $97.4 Reporting by Seher Dareen in Bengaluru; Editing by Pooja Desai and Sandra Maler

Clustering 115

Clustering Data Models Data Modeling AI 115

Pickl AI

FEBRUARY 23, 2025

Apache Hadoop Apache Hadoop is an open-source framework that allows for distributed storage and processing of large datasets across clusters of computers using simple programming models. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Statistics Kafka handles over 1.1

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52