Remove p differences-and-connections-between-natural-language-processing-and-computer-vision-from-a-machine-learning-perspective
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Foundations of Computer Vision

Hacker News

The print version was published by The MIT Press on April 16, 2024.

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How Active Learning Can Improve Your Computer Vision Pipeline

DagsHub

Active Learning takes a more strategic approach: it identifies and prioritizes the most valuable samples that could contribute most significantly to improving model performance. Such a selection process considerably reduces the amount of labeled data needed to train a model while maintaining and improving the model accuracy.

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Understanding BERT

Mlearning.ai

Pre-training of Deep Bidirectional Transformers for Language Understanding BERT is a language model that can be fine-tuned for various NLP tasks and at the time of publication achieved several state-of-the-art results. Finally, the impact of the paper and applications of BERT are evaluated from today’s perspective.

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Ask HN: Who is hiring? (July 2025)

Hacker News

(July 2025) 185 points by whoishiring 10 hours ago | hide | past | favorite | 215 comments Please state the location and include REMOTE for remote work, REMOTE (US) or similar if the country is restricted, and ONSITE when remote work is not an option. One post per company. If it isn't a household name, explain what your company does.

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Ask HN: What Are You Working On? (June 2025)

Hacker News

Laboratory.love uses the same methodology as PlasticList.org, which found plastic chemicals in everything from prenatal vitamins to ice cream. Technical details: Laboratory.love works with ISO 17025-accredited labs, test three samples from different production lots, detect chemicals down to parts per billion.

AI 77