AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. In this builders’ session, learn how to pre-train an LLM using Slurm on SageMaker HyperPod.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Meesho was founded in 2015 and today focuses on buyers and sellers across India. We used AWS machine learning (ML) services like Amazon SageMaker to develop a powerful generalized feed ranker (GFR). He holds a master’s degree in Machine Learning from Indian Institute of Science (IISc), India.

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AWS Data Scientist ML ML 123

AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. He works with customers from different sectors to accelerate high-impact data, analytics, and machine learning initiatives.

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ML ML AWS Data Pipeline 101

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.

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Algorithm Data Scientist Machine Learning Machine Learning 100

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. ACM Computing Surveys (CSUR) , 54 (6), pp.1-36.

AWS 101

AWS Analytics Analytics Machine Learning 101

phData

SEPTEMBER 20, 2023

On the client side, Snowpark consists of libraries, including the DataFrame API and native Snowpark machine learning (ML) APIs for model development (public preview) and deployment (private preview). phData has been working in data engineering since the inception of the company back in 2015.

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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. Even modern machine learning applications should use visual encoding to explain data to people. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Connectivity.

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Tableau ML ML Database 145

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., an image) with the intention of causing a machine learning model to misclassify it (Goodfellow et al., 2018; Pang et al.,

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Deep Learning Deep Learning Machine Learning Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. 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.

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Database AWS ETL SQL 155

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015.

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ML ML Deep Learning Deep Learning 97

Pickl AI

AUGUST 22, 2024

Researchers and developers favour PyTorch for its flexibility and ease of use, accelerating the development and experimentation of Machine Learning models. It supports integration with NumPy for numerical computations and works well with popular Machine Learning libraries like scikit-learn.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Tableau

DECEMBER 1, 2021

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Even modern machine learning applications should use visual encoding to explain data to people. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Connectivity.

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Tableau ML ML Database 98

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.

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Data Science Data Scientist AI AI 40

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 ). Machine Learning for Page Generation A good utility function that checks the relevance of a row is the core of building a personalized home page.

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Deep Learning Deep Learning Algorithm Machine Learning 52

Cambridge Intelligence

FEBRUARY 20, 2025

GraphViz [Graphviz] has important applications in networking, bioinformatics, software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. Format: Open source automatic graph drawing/design tool that uses a simple graph description language (DOT) for nodes, edges, clusters etc.

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Data Visualization Data Analyst Algorithm Clustering 52

AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015.

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ML ML Deep Learning Deep Learning 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 ). 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.

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Python Algorithm Machine Learning Machine Learning 181

Explosion

FEBRUARY 18, 2015

To do great NLP, you have to know a little about linguistics, a lot about machine learning, and almost everything about the latest research. 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. Higher is better.

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Clustering Natural Language Processing Machine Learning Machine Learning 52

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. For this problem, we will visit a famous dataset shared by the University of California, Irvine Machine Learning Repository.

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Decision Trees Analytics Analytics Data Science 52

DrivenData Labs

FEBRUARY 3, 2025

Recently, I became interested in machine learning, so I was enrolled in the Yandex School of Data Analysis and Computer Science Center. Machine learning is my passion and I often participate in competitions. His journey in AI began in 2015 with a master's in computer vision for biomedical image analysis.

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Machine Learning Machine Learning Data Science Natural Language Processing 130

Hacker News

JUNE 29, 2025

Specifically, rice seems to contain a good deal of arsenic ( https://www.consumerreports.org/cro/magazine/2015/01/how-muc. ) This month I used a new embedding model (Nomic), switch out UMAP for PaCMAP, and added automatic cluster labelling. An HP Deskjet 5850. Typical small home/office printer.

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AI AI Database Python 75