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Data Science

Data Science allows us to extract meaning from and interpret data.

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Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash

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4 min read
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?

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4 min read
Is GPT-4 conscious?

Is GPT-4 conscious?

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4 min read
Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency
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Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency

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4 min read
Accuracy is Not All You Need
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Accuracy is Not All You Need

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4 min read
On scalable oversight with weak LLMs judging strong LLMs
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On scalable oversight with weak LLMs judging strong LLMs

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3 min read
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models
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AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models

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3 min read
xLSTMTime : Long-term Time Series Forecasting With xLSTM

xLSTMTime : Long-term Time Series Forecasting With xLSTM

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4 min read
Qwen2 Technical Report
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Qwen2 Technical Report

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4 min read
Backpropagation through space, time, and the brain

Backpropagation through space, time, and the brain

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4 min read
Parametric Matrix Models
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Parametric Matrix Models

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4 min read
Tracking Health with Data Engineering - Chapter 1: Meal Optimization
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Tracking Health with Data Engineering - Chapter 1: Meal Optimization

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6 min read
Handling Outliers|| Feature Engineering || Machine Learning

Handling Outliers|| Feature Engineering || Machine Learning

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5 min read
How Data Science is Transforming the Healthcare Industry

How Data Science is Transforming the Healthcare Industry

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6 min read
Computer Vision Meetup: 5 Handy Ways to Use Embeddings, the Swiss Army Knife of AI 42:40

Computer Vision Meetup: 5 Handy Ways to Use Embeddings, the Swiss Army Knife of AI

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1 min read
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