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Feature Platforms?—?A New Paradigm in Machine Learning Operations (MLOps)

IBM Data Science in Practice

Feature Platforms — A New Paradigm in Machine Learning Operations (MLOps) Operationalizing Machine Learning is Still Hard OpenAI introduced ChatGPT. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years.

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Foundations of Computer Vision

Hacker News

About this Book This book covers foundational topics within computer vision, with an image processing and machine learning perspective. During the first years after 2012, some of the early ideas were forgotten due to the popularity of the new approaches, but over time many of them returned. Pitman, 2012. [2] and Isola, P.

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A Simple and Transparent Machine Learning Approach Proves to Conquer the German Market

Dataconomy

The market leader in the DACH region has a vision for its Machine Learning: it should be explainable to the boss, as well as to users. Focussing on German-speaking countries since 2012, The post A Simple and Transparent Machine Learning Approach Proves to Conquer the German Market appeared first on Dataconomy.

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Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

AWS Machine Learning Blog

This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. For more information, see Query any data source with Amazon Athena’s new federated query and Import data from over 40 data sources for no-code machine learning with Amazon SageMaker Canvas.

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How is AI Powering the Future of Sports?

Analytics Vidhya

FIFA announced Goal-Line Technology (GLT) in FIFA World Cup 2012 Japan […] The post How is AI Powering the Future of Sports? We can not imagine a sports industry without artificial intelligence, especially today! We’ve got a league of examples to admit that. appeared first on Analytics Vidhya.

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Classification without Training Data: Zero-shot Learning Approach

Analytics Vidhya

Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images.

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Pascal VOC

Dataconomy

Pascal VOC is a cornerstone in the realm of machine learning and computer vision. Pascal VOC, or the Visual Object Classes Challenge, is a dataset that has played an integral role in advancing research within the fields of computer vision and machine learning. What is Pascal VOC?