Data Science Dojo

MARCH 4, 2024

Emerging as a key player in deep learning (2010s) The decade was marked by focusing on deep learning and navigating the potential of AI. Introduction of cuDNN Library: In 2014, the company launched its cuDNN (CUDA Deep Neural Network) Library. It provided optimized codes for deep learning models.

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Deep Learning Deep Learning AI AI 221

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. Request a VPC peering connection.

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AWS Analytics Analytics Machine Learning 94

AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. With the DJL, integrating this deep learning is simple. Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football.

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ML ML Deep Learning Deep Learning 96

AWS Machine Learning Blog

SEPTEMBER 11, 2024

In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Thirdly, the presence of GPUs enabled the labeled data to be processed.

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AWS ML ML Clustering 105

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Since its launch in 2018, Just Walk Out technology by Amazon has transformed the shopping experience by allowing customers to enter a store, pick up items, and leave without standing in line to pay. Learn more about how to power your store or venue with Just Walk Out technology by Amazon on the Just Walk Out technology product page.

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AI AI AWS Algorithm 88

AWS Machine Learning Blog

APRIL 3, 2023

The accomplishments of deep learning are essentially just a type of curve fitting, whereas causality could be used to uncover interactions between the systems of the world under various constraints without testing hypotheses directly. Prerequisites You need an AWS account to use this solution.

Database 100

Database AWS Machine Learning Machine Learning 100

AWS Machine Learning Blog

AUGUST 16, 2023

The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. Because we use true color images during DINO training, we only upload the red (B04), green (B03), and blue (B02) bands: aws s3 cp final_ben_s2.parquet Machine Learning Engineer at AWS.

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ML ML Data Scientist AWS 94

AWS Machine Learning Blog

APRIL 6, 2023

& AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a wide range of industries to extract actionable insights from data to streamline processes and improve revenue generation. We trained three models using data from 2011–2018 and predicted the sales values until 2021.

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Machine Learning Machine Learning ML ML 105

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. Mohamad Al Jazaery is an applied scientist at Amazon Machine Learning Solutions Lab. Prior to AWS, he obtained his MCS from West Virginia University and worked as computer vision researcher at Midea.

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ML ML Machine Learning Machine Learning 88

AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). International Conference on Machine Learning. PMLR, 2018. [2] On large-batch training for deep learning: Generalization gap and sharp minima.” Toward understanding the impact of staleness in distributed machine learning.”

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Clustering Algorithm ML ML 90

AWS Machine Learning Blog

MAY 2, 2023

There are a few limitations of using off-the-shelf pre-trained LLMs: They’re usually trained offline, making the model agnostic to the latest information (for example, a chatbot trained from 2011–2018 has no information about COVID-19). Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.

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Algorithm Machine Learning Machine Learning Natural Language Processing 98

Flipboard

APRIL 16, 2025

LLMs are large deep learning models that are pre-trained on vast amounts of data. The solution uses various AWS services to create an end-to-end system that enables field technicians to capture label images, extract data using AI models, verify the accuracy, and seamlessly update the inventory database.

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AWS Database AI AI 109

AWS Machine Learning Blog

DECEMBER 2, 2024

Over the past decade, advancements in deep learning have spurred a shift toward so-called global models such as DeepAR [3] and PatchTST [4]. AutoGluon predictors can be seamlessly deployed to SageMaker using AutoGluon-Cloud and the official Deep Learning Containers. Chronos: Learning the language of time series.”

Machine Learning 88

Machine Learning Machine Learning Deep Learning Deep Learning 88

AWS Machine Learning Blog

NOVEMBER 26, 2024

About the Authors Benoit de Patoul is a GenAI/AI/ML Specialist Solutions Architect at AWS. Naresh Nagpal is a Solutions Architect at AWS with extensive experience in application development, integration, and technology architecture. In his free time, he likes to play piano and spend time with friends.

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Machine Learning Machine Learning SQL ML 100