The MLOps Blog

DECEMBER 28, 2022

The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. Building ML team Following the surge in ML use cases that have the potential to transform business, the leaders are making a significant investment in ML collaboration, building teams that can deliver the promise of machine learning.

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AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

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AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring. AI life-cycle tools are essential to productize AI/ML solutions.

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Data Science 101

APRIL 26, 2019

Below is a listing of some of the data science related projects for Golang. Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). The “Go for Data Science” debate has been discussed numerous times over the past few years.

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Tableau

DECEMBER 1, 2021

June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two. Another key data computation moment was Hyper in v10.5 (Jan May 2017), which was Tableau’s first exploration of Machine Learning (ML) technology to provide computer assistance.

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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. SageMaker pipeline for training SageMaker Pipelines helps you define the steps required for ML services, such as preprocessing, training, and deployment, using the SDK.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Advances in neural information processing systems 30 (2017).

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